write all data on training to training log
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@@ -176,7 +176,6 @@ def training_entry():
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loss_fn.backward()
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loss_fn.backward()
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opt.step()
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opt.step()
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if step % TRAIN_PROGRESS == 0:
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with torch.no_grad():
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with torch.no_grad():
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pred = (torch.sigmoid(logits) > 0.5).float()
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pred = (torch.sigmoid(logits) > 0.5).float()
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acc = (pred == y).float().mean().item()
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acc = (pred == y).float().mean().item()
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