Note
Go to the end to download the full example code.
Comparison between some regression techniques#
Regression problems are all written in a simple way, as explained in other tutorials.
\[L_\theta(\xi) := \ell\left(\xi^\texttt{label} - \langle\theta\mid\xi^\texttt{input}\rangle\right)\]
We consider a simple 1D regression problem to highlight the possibility of using various losses in the library, not to showcase their specificities.
We start with logistic regression, which is by far the most covered example of the library, and then present some minor modifications we can make to catter to some other classification techniques. All of those losses are taken from [1].
Hint
All those models are optimized in the default library settings, which represent uncertainty sets of type Wasserstein-2-2 (regularized), even though some of them are Lipschitz and thus may benefit from lower-order neighborhoods.
Problem setup#
SEED = 42
NOISE_LEVEL = 3.
radius = pt.tensor(1.)
device = "cpu"
X = pt.arange(-10, 10, .2, device=device).unsqueeze(-1)
A = pt.randn(1).to(X)
y = A * X + pt.randn_like(X) * NOISE_LEVEL
Training loop#
Define a function to train a model so that we can reuse it in various settings
def train(dual_loss: DualLoss, dataset: tuple[pt.Tensor, pt.Tensor], epochs: int=100):
optimizer = pt.optim.SGD(dual_loss.parameters(), nesterov=True, momentum=.1) # LBFGS is used to optimize thanks to the nature of the problem
def closure(): # Closure for the LBFGS solver
optimizer.zero_grad()
loss = dual_loss(*dataset).mean()
loss.backward()
return loss
pbar = tqdm(range(epochs))
# Every now and then, try to rectify the dual parameter (e.g. once per epoch).
dual_loss.get_initial_guess_at_dual(*dataset)
for _ in pbar:
l = closure()
optimizer.step()
if dual_loss.lam <= 0.:
dual_loss._lam.requires_grad_(False)
dual_loss._lam.mul_(0.)
dual_loss._lam.requires_grad_(True)
if l < 1e-3:
break
pbar.set_postfix({"lambda": f"{dual_loss.lam.item():.2f}", "loss": f"{l.item():.2e}"})
t = dual_loss.primal_loss.transform
assert isinstance(t, nn.Linear)
return t
First model: Ordinary Least Squares#
This is the most simple least squares problem, from which we build the others.
\[\ell(a) = \frac12\|a\|^2\]
We solve it in exactly the same way as before.
class QuadraticLoss(nn.Module):
reduction: str = 'none'
def forward(self, x, y):
a = y - x
return .5 * a**2
model = nn.Linear(1, 1).to(X)
loss = QuadraticLoss()
dro_model = robustify(
loss,
model,
radius,
X, y,
seed=SEED,
imp_samp=False
)
plt.plot(X, loss(X, A*X))
plt.title("OLS loss (quadratic)")
pass
First model: Training#
model4 = train(dro_model, (X, y), epochs=1000) # type: ignore
model4.eval() # type: ignore
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=8.17e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=8.13e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=8.09e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=8.05e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=8.01e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=7.98e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=7.95e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.55, loss=7.92e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.90e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.88e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.86e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.84e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.82e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.81e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.79e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.78e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.77e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.76e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.75e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.74e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.73e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.54, loss=7.72e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.72e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.71e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.70e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.70e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.69e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.69e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.68e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.68e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.67e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.67e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.67e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.66e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.66e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.53, loss=7.66e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.66e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.52, loss=7.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.51, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=1.50, loss=7.62e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.50, loss=7.62e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.50, loss=7.62e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.50, loss=7.62e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.50, loss=7.62e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.62e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.49, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.61e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.48, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.47, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.60e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.46, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.59e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.45, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.44, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.44, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.44, loss=7.58e+00]
8%|▊ | 75/1000 [00:00<00:01, 747.00it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.44, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.58e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.43, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.57e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.42, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.41, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.56e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.40, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
15%|█▌ | 152/1000 [00:00<00:01, 755.90it/s, lambda=1.39, loss=7.55e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.39, loss=7.55e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.39, loss=7.55e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.39, loss=7.55e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.39, loss=7.55e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.39, loss=7.55e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.39, loss=7.55e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.39, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.38, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.54e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.37, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.36, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.53e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.35, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.52e+00]
23%|██▎ | 228/1000 [00:00<00:01, 757.63it/s, lambda=1.34, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.34, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.34, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.34, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.33, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.51e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.32, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.31, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.50e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.30, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.49e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.48e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.48e+00]
30%|███ | 305/1000 [00:00<00:00, 759.67it/s, lambda=1.29, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.29, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.29, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.28, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.48e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.27, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.26, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.47e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.25, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.46e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.45e+00]
38%|███▊ | 382/1000 [00:00<00:00, 760.14it/s, lambda=1.24, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.24, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.23, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.45e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.22, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.21, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.44e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.20, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.79it/s, lambda=1.19, loss=7.43e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.19, loss=7.43e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.18, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.42e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.17, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.16, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.41e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.15, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 761.38it/s, lambda=1.14, loss=7.40e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.14, loss=7.40e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.14, loss=7.40e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.40e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.40e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.40e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.13, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.39e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.12, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.11, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.38e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.10, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 761.72it/s, lambda=1.09, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.09, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.09, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.09, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.09, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.09, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.37e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.08, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.07, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.36e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.06, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.05, loss=7.35e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 762.33it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.04, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.34e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.03, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.02, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.33e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.01, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=1.00, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=0.99, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=0.99, loss=7.32e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 762.77it/s, lambda=0.99, loss=7.32e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.32e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.32e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.32e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.32e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.32e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.32e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.99, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.98, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.31e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.97, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.96, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.30e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 763.27it/s, lambda=0.95, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.95, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.95, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.95, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.95, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.94, loss=7.29e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.93, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.28e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.92, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.91, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.90, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.90, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.90, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.90, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.90, loss=7.27e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 763.54it/s, lambda=0.90, loss=7.27e+00]
100%|█████████▉| 998/1000 [00:01<00:00, 763.81it/s, lambda=0.90, loss=7.27e+00]
100%|█████████▉| 998/1000 [00:01<00:00, 763.81it/s, lambda=0.90, loss=7.27e+00]
100%|█████████▉| 998/1000 [00:01<00:00, 763.81it/s, lambda=0.90, loss=7.27e+00]
100%|██████████| 1000/1000 [00:01<00:00, 761.49it/s, lambda=0.90, loss=7.27e+00]
Linear(in_features=1, out_features=1, bias=True)
First model: Results#
plot_linear_relation(X, y, A, model4)
Second model: SVR (primal)#
The classical Support Vector Machine model, with the \(\tau\)-insensitive loss and linear kernel, can be implemented in various ways. The one favored by scikit-learn e.g., when no ridge regularization is used, is as follows (see this remark):
\[\ell(a) = \max\{0, \|a\|-\tau\}\]
In our case, we suppose that the method is in the “big-data-low-dim” regime, in which using the Kernel trick would be detrimental. In this setting, the implementation is straightforward.
class InsensitiveLoss(nn.Module):
reduction: str = 'none'
insensitivity: float = .3
def __init__(self, insensitivity=.3):
super().__init__()
self.insensitivity = insensitivity
def forward(self, x, y):
return nn.functional.relu(pt.abs(y - x) - self.insensitivity)
model = nn.Linear(1, 1).to(X)
loss = InsensitiveLoss()
dro_model = robustify(
loss,
model,
radius,
X, y,
seed=SEED,
imp_samp=False
)
plt.plot(X, loss(X, A*X))
plt.title("$\\tau$-insensitive loss")
pass
Second model: Training#
model2 = train(dro_model, (X, y), epochs=1000) # type: ignore
model2.eval() # type: ignore
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.22e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.19e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.16e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.13e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.10e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.07e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.05e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.02e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=5.99e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=5.96e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.93e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.90e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.87e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.85e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.82e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.79e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.76e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.73e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.71e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.68e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.59e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.57e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.54e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.51e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.48e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.45e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.43e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.40e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.37e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.34e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.32e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.29e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.26e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.24e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.21e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.18e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.16e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.13e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.11e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.08e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.06e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.04e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.01e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.99e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.97e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.95e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.92e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.90e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.88e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.85e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.83e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.81e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.79e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.76e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.74e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.72e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.70e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.67e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.61e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.59e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.56e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.54e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.52e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.50e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.48e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.45e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.43e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.41e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.39e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.37e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.45, loss=4.37e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.45, loss=4.35e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.45, loss=4.33e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.45, loss=4.31e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.45, loss=4.29e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.27e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.25e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.23e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.21e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.19e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.17e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.15e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.13e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.11e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.10e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.08e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.06e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.05e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.03e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.01e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=4.00e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=3.98e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=3.97e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=3.95e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=3.93e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.44, loss=3.92e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.90e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.89e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.87e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.86e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.84e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.83e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.81e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.80e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.78e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.77e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.75e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.74e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.72e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.71e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.70e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.69e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.67e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.66e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.65e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.64e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.63e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.61e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.60e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.43, loss=3.59e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.58e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.57e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.56e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.55e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.53e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.52e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.51e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.50e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.49e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.48e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.47e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.46e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.45e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.44e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.43e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.41e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.40e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.39e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.38e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.37e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.36e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.42, loss=3.35e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.41, loss=3.34e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.41, loss=3.33e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.41, loss=3.32e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.41, loss=3.31e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.41, loss=3.30e+00]
7%|▋ | 74/1000 [00:00<00:01, 735.54it/s, lambda=0.41, loss=3.29e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.29e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.28e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.27e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.26e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.25e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.24e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.23e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.23e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.22e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.21e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.21e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.20e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.20e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.19e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.19e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.18e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.41, loss=3.18e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.18e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.17e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.17e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.16e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.16e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.15e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.15e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.15e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.14e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.14e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.13e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.13e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.13e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.12e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.12e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.12e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.11e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.11e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.11e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.10e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.40, loss=3.10e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.10e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.10e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.09e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.09e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.09e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.09e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.08e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.08e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.08e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.08e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.07e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.07e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.07e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.07e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.06e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.06e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.06e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.06e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.06e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.39, loss=3.06e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 751.15it/s, lambda=0.38, loss=3.03e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.38, loss=3.03e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.38, loss=3.03e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.02e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.01e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.37, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=3.00e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.99e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.36, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.98e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.97e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.35, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.96e+00]
23%|██▎ | 228/1000 [00:00<00:01, 756.35it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.34, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.33, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.95e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.32, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.94e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.31, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
30%|███ | 305/1000 [00:00<00:00, 757.90it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.30, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.93e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.29, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.28, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.92e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.27, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.26, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.26, loss=2.91e+00]
38%|███▊ | 382/1000 [00:00<00:00, 758.83it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.26, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.91e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.25, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.24, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
46%|████▌ | 459/1000 [00:00<00:00, 760.36it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.90e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.23, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.22, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.21, loss=2.89e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
54%|█████▎ | 536/1000 [00:00<00:00, 760.74it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.20, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.19, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.88e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.18, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
61%|██████▏ | 613/1000 [00:00<00:00, 760.86it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.17, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.87e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.16, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.15, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:00<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
69%|██████▉ | 690/1000 [00:01<00:00, 760.74it/s, lambda=0.14, loss=2.86e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.14, loss=2.86e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.14, loss=2.86e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.14, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.14, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.14, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.13, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.12, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.85e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
77%|███████▋ | 767/1000 [00:01<00:00, 761.43it/s, lambda=0.11, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.11, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.11, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.11, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.11, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.10, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.84e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.09, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
84%|████████▍ | 844/1000 [00:01<00:00, 761.81it/s, lambda=0.08, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.08, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.08, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.07, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.83e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.06, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
92%|█████████▏| 921/1000 [00:01<00:00, 762.21it/s, lambda=0.05, loss=2.82e+00]
100%|█████████▉| 998/1000 [00:01<00:00, 762.26it/s, lambda=0.05, loss=2.82e+00]
100%|█████████▉| 998/1000 [00:01<00:00, 762.26it/s, lambda=0.04, loss=2.82e+00]
100%|█████████▉| 998/1000 [00:01<00:00, 762.26it/s, lambda=0.04, loss=2.82e+00]
100%|██████████| 1000/1000 [00:01<00:00, 759.84it/s, lambda=0.04, loss=2.82e+00]
Linear(in_features=1, out_features=1, bias=True)
Second model: Results#
plot_linear_relation(X, y, A, model2)
Third model: Quantile-regression#
In the setting of quantile regression, we may fallback to a problem that is very similar to linear regression, in which the loss on the residuals is called the Pinball Loss. It is defined relative to a quantile selection \(\tau\).
\[\begin{split}\ell(a) = \begin{cases}
-(1-\tau)a & \text{if} a\ge 0\\
\tau & \text{otherwise.}
\end{cases}\end{split}\]
We solve it in exactly the same way as before.
class PinballLoss(nn.Module):
reduction: str = 'none'
quantile: float = 1.0
def __init__(self, quantile=.1):
super().__init__()
self.quantile = quantile
def forward(self, x, y):
a = y - x
pos = (a >= 0.).float()
return (self.quantile*pos + (1. - self.quantile)*(1. - pos)) * a.abs()
model = nn.Linear(1, 1).to(X)
loss = PinballLoss(.05)
dro_model = robustify(
loss,
model,
radius,
X, y,
seed=SEED,
imp_samp=False
)
plt.plot(X, loss(X, A*X))
plt.title("Pinball loss")
pass
Third model: Training#
model3 = train(dro_model, (X, y), epochs=1000) # type: ignore
model3.eval() # type: ignore
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.11e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.10e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.09e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.08e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.07e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.07e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.06e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.31, loss=3.05e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=3.04e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=3.03e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=3.02e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=3.02e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=3.01e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=3.00e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=2.99e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=2.98e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=2.98e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=2.97e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=2.96e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.30, loss=2.95e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.94e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.94e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.93e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.92e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.91e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.90e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.90e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.89e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.88e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.87e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.86e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.29, loss=2.86e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.85e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.84e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.83e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.82e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.82e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.81e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.80e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.79e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.78e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.78e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.77e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.76e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.28, loss=2.75e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.75e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.74e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.73e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.72e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.72e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.71e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.70e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.69e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.69e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.68e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.67e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.27, loss=2.66e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.66e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.61e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.61e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.60e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.59e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.59e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.26, loss=2.58e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.25, loss=2.57e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.25, loss=2.57e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.25, loss=2.56e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.25, loss=2.55e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.25, loss=2.54e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.25, loss=2.54e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.54e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.53e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.52e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.52e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.51e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.50e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.49e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.25, loss=2.49e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.48e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.47e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.47e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.46e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.45e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.45e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.44e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.43e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.43e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.42e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.41e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.41e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.24, loss=2.40e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.39e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.38e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.38e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.37e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.36e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.36e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.35e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.34e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.34e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.33e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.32e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.23, loss=2.32e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.31e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.30e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.30e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.29e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.28e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.28e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.27e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.26e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.26e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.25e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.24e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.24e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.22, loss=2.23e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.23e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.22e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.21e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.21e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.20e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.19e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.19e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.18e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.18e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.17e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.16e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.16e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.21, loss=2.15e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.14e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.14e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.13e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.13e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.12e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.11e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.11e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.10e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.10e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.09e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.08e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.08e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.20, loss=2.07e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.19, loss=2.07e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.19, loss=2.06e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.19, loss=2.06e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.19, loss=2.05e+00]
8%|▊ | 75/1000 [00:00<00:01, 743.25it/s, lambda=0.19, loss=2.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.05e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.04e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.03e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.02e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.02e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.01e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.01e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.19, loss=2.00e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=2.00e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.99e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.99e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.98e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.98e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.97e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.97e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.96e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.96e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.95e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.95e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.94e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.93e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.18, loss=1.93e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.92e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.92e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.91e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.91e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.90e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.90e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.89e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.89e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.89e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.88e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.88e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.87e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.17, loss=1.87e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.86e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.86e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.85e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.85e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.84e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.84e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.83e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.83e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.82e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.82e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.82e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.81e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.81e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.16, loss=1.80e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.80e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.79e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.79e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.78e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.78e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.78e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.77e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.77e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.76e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.76e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.75e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.75e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.15, loss=1.75e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.74e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.74e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.73e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.73e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.72e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.72e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.72e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.71e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.71e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.70e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.70e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.69e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.69e+00]
15%|█▌ | 151/1000 [00:00<00:01, 750.77it/s, lambda=0.14, loss=1.69e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.14, loss=1.69e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.68e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.68e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.67e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.67e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.66e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.66e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.66e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.65e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.65e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.64e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.64e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.63e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.13, loss=1.63e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.63e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.62e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.62e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.61e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.61e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.60e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.60e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.60e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.59e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.59e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.58e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.58e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.58e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.12, loss=1.57e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.57e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.56e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.56e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.56e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.55e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.55e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.55e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.54e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.54e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.54e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.53e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.53e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.53e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.52e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.11, loss=1.52e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.52e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.51e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.51e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.51e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.51e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.50e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.50e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.50e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.50e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.49e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.49e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.49e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.49e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.10, loss=1.48e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.48e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.48e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.48e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.47e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.47e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.47e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.47e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.46e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.46e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.46e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.46e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.45e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.45e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.45e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.09, loss=1.45e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.08, loss=1.45e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.08, loss=1.44e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.08, loss=1.44e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.08, loss=1.44e+00]
23%|██▎ | 227/1000 [00:00<00:01, 753.30it/s, lambda=0.08, loss=1.44e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.44e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.43e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.43e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.43e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.43e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.43e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.42e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.42e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.42e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.42e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.42e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.08, loss=1.41e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.41e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.41e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.41e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.41e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.41e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.40e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.40e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.40e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.40e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.40e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.39e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.39e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.39e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.39e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.07, loss=1.39e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.38e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.38e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.38e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.38e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.38e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.38e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.37e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.37e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.37e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.37e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.37e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.36e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.36e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.36e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.36e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.06, loss=1.36e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.36e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.35e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.35e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.35e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.35e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.35e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.35e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.35e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.34e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.34e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.34e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.34e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.34e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.34e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.33e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.05, loss=1.33e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.33e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.33e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.33e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.33e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.32e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.32e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.32e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.32e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.32e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.32e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.31e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.31e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.31e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.31e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.31e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.31e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.31e+00]
30%|███ | 303/1000 [00:00<00:00, 754.44it/s, lambda=0.04, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.04, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.30e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.29e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.29e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.29e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.29e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.29e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.29e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.28e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.28e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.28e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.28e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.28e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.28e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.28e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.03, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.27e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.26e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.02, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.25e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.24e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.23e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.22e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.22e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.01, loss=1.22e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.00, loss=1.22e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.00, loss=1.22e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.00, loss=1.22e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.00, loss=1.22e+00]
38%|███▊ | 379/1000 [00:00<00:00, 754.85it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.22e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.21e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.20e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.19e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.18e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.18e+00]
46%|████▌ | 455/1000 [00:00<00:00, 755.02it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.18e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.17e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
53%|█████▎ | 531/1000 [00:00<00:00, 754.54it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.16e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.15e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.14e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.14e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.14e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.14e+00]
61%|██████ | 607/1000 [00:00<00:00, 754.26it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.14e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:00<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:01<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:01<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:01<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:01<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:01<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
68%|██████▊ | 683/1000 [00:01<00:00, 754.27it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.13e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.12e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
76%|███████▌ | 759/1000 [00:01<00:00, 754.28it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.11e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
84%|████████▎ | 835/1000 [00:01<00:00, 753.79it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.10e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.09e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.08e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.08e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.08e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.08e+00]
91%|█████████ | 911/1000 [00:01<00:00, 753.98it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
99%|█████████▊| 987/1000 [00:01<00:00, 754.19it/s, lambda=-0.00, loss=1.08e+00]
100%|██████████| 1000/1000 [00:01<00:00, 753.80it/s, lambda=-0.00, loss=1.08e+00]
Linear(in_features=1, out_features=1, bias=True)
Third model: Results#
plot_linear_relation(X, y, A, model3)
Fourth model: Outlier-robust regression#
A pervasive way to make a regression robust to outliers (a kind of robustness that is fundamentaly different from that of DRO) is to abandon the strict convexity of ordinary least squares to make the loss linear after some threshold. This loss is called the Huber Loss with parameter \(\delta\).
\[\begin{split}\ell(a) = \begin{cases}
\frac{|a|}2 & \text{if} |a|\le \delta\\
\delta |a| - \frac{\delta^3}2 & \text{otherwise.}
\end{cases}\end{split}\]
class HuberLoss(nn.Module):
reduction: str = 'none'
quantile: float = 1.0
def __init__(self, quantile=.9):
super().__init__()
self.quantile = quantile
def forward(self, x, y):
a = y - x
r = a.abs()
pos = (r >= self.quantile).float()
outer = self.quantile*r - .5*self.quantile**3
inner = .5 * a**2
return outer*pos + inner*(1. - pos)
model = nn.Linear(1, 1).to(X)
loss = HuberLoss(.95)
dro_model = robustify(
loss,
model,
radius,
X, y,
seed=SEED,
imp_samp=False
)
plt.plot(X, loss(X, A*X))
plt.title("Huber loss")
pass
Fourth model: Training#
model4 = train(dro_model, (X, y), epochs=1000) # type: ignore
model4.eval() # type: ignore
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.76e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.74e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.71e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.68e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.66e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.61e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.58e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.55e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.53e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.50e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.48e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.45e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.42e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.40e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.37e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.35e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.32e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.30e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.27e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.25e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.22e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.20e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.17e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=5.15e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=5.12e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=5.09e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=5.07e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=5.04e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=5.02e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.99e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.97e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.95e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.92e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.90e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.87e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.85e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.82e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.80e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.78e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.44, loss=4.75e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.73e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.71e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.69e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.67e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.64e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.60e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.58e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.56e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.54e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.52e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.50e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.48e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.46e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.44e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.42e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.43, loss=4.40e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.38e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.36e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.34e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.32e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.30e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.28e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.26e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.24e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.22e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.20e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.18e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.16e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.14e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.42, loss=4.12e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.42, loss=4.12e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.42, loss=4.10e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.42, loss=4.08e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.42, loss=4.06e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.42, loss=4.04e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.42, loss=4.02e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.42, loss=4.00e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.98e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.97e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.95e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.93e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.91e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.89e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.88e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.86e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.84e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.82e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.81e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.79e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.77e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.76e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.74e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.72e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.71e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.69e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.68e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.66e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.41, loss=3.65e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.64e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.62e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.61e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.59e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.58e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.56e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.55e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.54e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.52e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.51e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.50e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.48e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.47e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.46e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.44e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.43e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.42e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.40e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.39e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.38e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.37e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.36e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.35e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.40, loss=3.33e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.32e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.31e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.30e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.29e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.28e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.27e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.26e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.25e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.24e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.23e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.22e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.21e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.20e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.19e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.18e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.17e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.16e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.15e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.14e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.13e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.12e+00]
7%|▋ | 72/1000 [00:00<00:01, 714.29it/s, lambda=0.39, loss=3.11e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.39, loss=3.11e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.39, loss=3.10e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.09e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.08e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.07e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.06e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.05e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.04e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.03e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.02e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.01e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=3.00e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.99e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.98e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.97e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.97e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.96e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.95e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.94e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.94e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.93e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.92e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.38, loss=2.92e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.91e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.91e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.90e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.89e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.89e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.88e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.88e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.87e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.87e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.87e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.86e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.86e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.85e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.85e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.85e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.84e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.84e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.83e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.83e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.83e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.82e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.37, loss=2.82e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.82e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.82e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.81e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.81e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.81e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.80e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.80e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.80e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.80e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.79e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.79e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.79e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.79e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.78e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.78e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.78e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.78e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.77e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.77e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.77e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.36, loss=2.77e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.77e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.77e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.76e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.76e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.76e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.76e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.76e+00]
14%|█▍ | 145/1000 [00:00<00:01, 722.22it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.75e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.74e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.74e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.74e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.74e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.74e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.74e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.35, loss=2.74e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.73e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.72e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.34, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.71e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.70e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.33, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.69e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.68e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.67e+00]
22%|██▏ | 218/1000 [00:00<00:01, 724.23it/s, lambda=0.32, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.32, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.32, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.67e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.31, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.66e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.30, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.29, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.65e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.64e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.64e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.64e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.64e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.64e+00]
29%|██▉ | 291/1000 [00:00<00:00, 725.62it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.28, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.27, loss=2.64e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.26, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.63e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.62e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.62e+00]
36%|███▋ | 364/1000 [00:00<00:00, 726.60it/s, lambda=0.25, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.25, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.25, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.24, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.62e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.23, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.22, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.21, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.21, loss=2.61e+00]
44%|████▎ | 437/1000 [00:00<00:00, 726.75it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.61e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.21, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.20, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.19, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.18, loss=2.60e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.18, loss=2.59e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.18, loss=2.59e+00]
51%|█████ | 510/1000 [00:00<00:00, 726.80it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.18, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.17, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.59e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.16, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.15, loss=2.58e+00]
58%|█████▊ | 583/1000 [00:00<00:00, 727.15it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.15, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.58e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.14, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:00<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:01<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:01<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
66%|██████▌ | 656/1000 [00:01<00:00, 727.43it/s, lambda=0.13, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.13, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.12, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.57e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.11, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
73%|███████▎ | 729/1000 [00:01<00:00, 727.29it/s, lambda=0.10, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.10, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.10, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.10, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.56e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.09, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.08, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
80%|████████ | 802/1000 [00:01<00:00, 727.08it/s, lambda=0.07, loss=2.55e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.07, loss=2.55e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.07, loss=2.55e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.07, loss=2.55e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.07, loss=2.55e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.07, loss=2.55e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.55e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.06, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.05, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.54e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.53e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.53e+00]
88%|████████▊ | 875/1000 [00:01<00:00, 727.56it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.04, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.03, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
95%|█████████▍| 948/1000 [00:01<00:00, 727.65it/s, lambda=0.02, loss=2.53e+00]
100%|██████████| 1000/1000 [00:01<00:00, 726.58it/s, lambda=0.02, loss=2.53e+00]
Linear(in_features=1, out_features=1, bias=True)
Fourth model: Results#
plot_linear_relation(X, y, A, model4)
Fifth model: Least Absolute Errors#
As OLS but with the L1 metric instead, which is more robust to outliers but has worse numerical properties than the Huber loss.
\[\ell(a) = \|a\|\]
Fifth model: Training#
model5 = train(dro_model, (X, y), epochs=1000) # type: ignore
model5.eval() # type: ignore
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.50, loss=6.53e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.50, loss=6.50e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.50, loss=6.47e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.50, loss=6.44e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.50, loss=6.41e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.50, loss=6.38e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.50, loss=6.35e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.32e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.29e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.26e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.24e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.21e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.18e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.15e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.12e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.09e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.07e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.04e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=6.01e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=5.98e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.49, loss=5.95e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.93e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.90e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.87e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.84e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.81e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.79e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.76e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.73e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.70e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.68e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.62e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.59e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.57e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.54e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.48, loss=5.51e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.49e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.46e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.44e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.41e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.39e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.36e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.34e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.32e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.29e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.27e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.25e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.23e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.20e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.18e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.16e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.13e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.47, loss=5.11e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.09e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.07e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.04e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.02e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=5.00e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.98e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.95e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.93e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.91e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.89e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.87e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.84e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.82e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.80e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.78e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.76e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.73e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.46, loss=4.71e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.69e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.67e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.65e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.63e+00]
0%| | 0/1000 [00:00<?, ?it/s, lambda=0.45, loss=4.61e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.61e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.59e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.57e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.55e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.53e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.51e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.49e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.47e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.45e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.43e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.42e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.40e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.38e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.36e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.35e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.33e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.45, loss=4.32e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.30e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.28e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.27e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.25e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.24e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.22e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.20e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.19e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.17e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.16e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.14e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.13e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.11e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.10e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.08e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.07e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.05e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.04e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.03e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.01e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=4.00e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=3.99e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.44, loss=3.98e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.96e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.95e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.94e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.93e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.92e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.90e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.89e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.88e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.87e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.86e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.85e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.84e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.83e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.82e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.80e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.79e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.78e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.77e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.76e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.75e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.74e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.73e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.43, loss=3.72e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.71e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.70e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.69e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.67e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.66e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.65e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.64e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.63e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.62e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.61e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.60e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.59e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.58e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.57e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.56e+00]
8%|▊ | 77/1000 [00:00<00:01, 767.77it/s, lambda=0.42, loss=3.55e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.42, loss=3.55e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.42, loss=3.55e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.42, loss=3.54e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.42, loss=3.53e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.42, loss=3.52e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.42, loss=3.52e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.51e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.51e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.50e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.50e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.49e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.49e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.48e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.48e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.47e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.47e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.47e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.46e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.46e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.45e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.45e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.44e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.44e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.44e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.43e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.43e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.43e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.41, loss=3.42e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.42e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.42e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.41e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.41e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.41e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.40e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.40e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.40e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.40e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.39e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.39e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.39e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.39e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.38e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.38e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.38e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.38e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.37e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.37e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.40, loss=3.37e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.37e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.37e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.36e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.36e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.36e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.36e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.36e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.36e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.35e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.35e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.35e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.35e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.35e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.35e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.34e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.34e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.34e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.34e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.34e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.34e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.39, loss=3.34e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.33e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.32e+00]
16%|█▌ | 155/1000 [00:00<00:01, 773.69it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.32e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.38, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.31e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.30e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.37, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.29e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.28e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.36, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.27e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.35, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
23%|██▎ | 234/1000 [00:00<00:00, 776.75it/s, lambda=0.34, loss=3.26e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.26e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.26e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.34, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.33, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.25e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.32, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.24e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.23e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.23e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.23e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.31, loss=3.23e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.30, loss=3.23e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.30, loss=3.23e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.30, loss=3.23e+00]
31%|███ | 312/1000 [00:00<00:00, 777.78it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.30, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.23e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.29, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.28, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.22e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
39%|███▉ | 390/1000 [00:00<00:00, 778.53it/s, lambda=0.27, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.27, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.27, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.27, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.26, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.21e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.25, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.24, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.23, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.23, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.23, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.23, loss=3.20e+00]
47%|████▋ | 468/1000 [00:00<00:00, 778.59it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.20e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.23, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.22, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.19e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.21, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
55%|█████▍ | 546/1000 [00:00<00:00, 778.70it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.20, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.19, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.18e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.18, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
62%|██████▏ | 624/1000 [00:00<00:00, 778.67it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.17, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.17e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.16, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.15, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:00<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:01<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:01<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
70%|███████ | 702/1000 [00:01<00:00, 778.45it/s, lambda=0.14, loss=3.16e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.14, loss=3.16e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.14, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.14, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.14, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.14, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.14, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.14, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.13, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.12, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.15e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
78%|███████▊ | 780/1000 [00:01<00:00, 778.68it/s, lambda=0.11, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.11, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.11, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.11, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.11, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.10, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.14e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.09, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
86%|████████▌ | 858/1000 [00:01<00:00, 778.36it/s, lambda=0.08, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.08, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.08, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.07, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.13e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.06, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
94%|█████████▎| 936/1000 [00:01<00:00, 778.61it/s, lambda=0.05, loss=3.12e+00]
100%|██████████| 1000/1000 [00:01<00:00, 778.00it/s, lambda=0.05, loss=3.12e+00]
Linear(in_features=1, out_features=1, bias=True)
Fifth model: Results#
plot_linear_relation(X, y, A, model5)
Sixth model: Quadratic SVR#
As the SVR described above, except it is squared, and hence has common properties with the OLS.
\[\ell(a) = \max\{0, \|a\|\}^2\]
class L2InsensitiveLoss(nn.Module):
reduction: str = 'none'
insensitivity: float = .3
def __init__(self, insensitivity=.3):
super().__init__()
self.insensitivity = insensitivity
def forward(self, x, y):
return nn.functional.relu(pt.abs(y - x) - self.insensitivity) ** 2
model = nn.Linear(1, 1).to(X)
loss = L2InsensitiveLoss()
dro_model = robustify(
loss,
model,
radius,
X, y,
seed=SEED,
imp_samp=False
)
plt.plot(X, loss(X, A*X))
plt.title("Squared-$\\tau$-insensitive loss")
pass
Sixth model: Training#
model6 = train(dro_model, (X, y), epochs=1000) # type: ignore
model6.eval() # type: ignore
0%| | 0/1000 [00:00<?, ?it/s]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=5.02e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=4.43e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=3.94e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=3.53e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=3.20e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=2.92e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=2.69e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=2.50e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=2.34e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=2.22e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=2.12e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=2.04e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.09, loss=1.98e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.92e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.88e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.84e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.81e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.78e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.76e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.74e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.72e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.71e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.70e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.08, loss=1.69e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.68e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.67e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.66e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.66e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.65e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.65e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.64e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.64e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.64e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.64e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.63e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.07, loss=1.63e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.63e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.63e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.63e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.63e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.06, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.05, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.62e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.61e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.61e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.04, loss=1.61e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.03, loss=1.61e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.03, loss=1.61e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.03, loss=1.61e+01]
0%| | 0/1000 [00:00<?, ?it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.03, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.02, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.01, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=6.00, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.61e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.99, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.98, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
7%|▋ | 74/1000 [00:00<00:01, 732.05it/s, lambda=5.97, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.97, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.97, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.96, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.95, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.94, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.60e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.93, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.92, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.91, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.90, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.90, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.90, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.90, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.90, loss=1.59e+01]
15%|█▌ | 150/1000 [00:00<00:01, 742.68it/s, lambda=5.90, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.90, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.90, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.90, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.90, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.90, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.90, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.89, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.88, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.59e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.87, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.86, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.85, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.84, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.83, loss=1.58e+01]
23%|██▎ | 226/1000 [00:00<00:01, 747.70it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.83, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.82, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.81, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.80, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.58e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.79, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.78, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
30%|███ | 302/1000 [00:00<00:00, 749.81it/s, lambda=5.77, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.77, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.77, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.77, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.76, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.75, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.74, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.73, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.72, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.71, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.70, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.70, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.70, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.70, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.70, loss=1.57e+01]
38%|███▊ | 378/1000 [00:00<00:00, 751.63it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.70, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.57e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.69, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.68, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.67, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.66, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.65, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.64, loss=1.56e+01]
45%|████▌ | 454/1000 [00:00<00:00, 752.60it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.63, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.62, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.61, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.60, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.56e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.59, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.58, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
53%|█████▎ | 530/1000 [00:00<00:00, 753.08it/s, lambda=5.57, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.57, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.57, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.57, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.57, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.57, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.56, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.55, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.54, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.53, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.52, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.51, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.50, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.50, loss=1.55e+01]
61%|██████ | 606/1000 [00:00<00:00, 752.67it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.50, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.49, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.55e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.48, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.47, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.46, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.45, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:00<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:01<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:01<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:01<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:01<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:01<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:01<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
68%|██████▊ | 682/1000 [00:01<00:00, 753.07it/s, lambda=5.44, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.44, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.44, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.44, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.43, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.42, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.41, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.40, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.39, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.38, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
76%|███████▌ | 758/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.37, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.54e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.36, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.35, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.34, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.33, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.32, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
83%|████████▎ | 834/1000 [00:01<00:00, 753.31it/s, lambda=5.31, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.31, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.30, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.29, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.28, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.27, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.26, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.25, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.24, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.24, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.24, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.24, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.24, loss=1.53e+01]
91%|█████████ | 910/1000 [00:01<00:00, 752.28it/s, lambda=5.24, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.24, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.24, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.24, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.24, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.24, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.24, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.53e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.52e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.52e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.52e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.52e+01]
99%|█████████▊| 986/1000 [00:01<00:00, 752.11it/s, lambda=5.23, loss=1.52e+01]
100%|██████████| 1000/1000 [00:01<00:00, 751.23it/s, lambda=5.23, loss=1.52e+01]
Linear(in_features=1, out_features=1, bias=True)
Sixth model: Results#
plot_linear_relation(X, y, A, model6)
References#
Total running time of the script: (0 minutes 8.522 seconds)