fixing memory
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@@ -131,6 +131,7 @@ class Trainer:
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disable=False, # Explicitly enable
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disable=False, # Explicitly enable
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)
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)
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try:
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for batch_idx, batch in enumerate(progress_bar):
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for batch_idx, batch in enumerate(progress_bar):
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input_ids = batch['input_ids'].to(self.device)
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input_ids = batch['input_ids'].to(self.device)
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labels = batch['labels'].to(self.device)
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labels = batch['labels'].to(self.device)
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@@ -191,7 +192,7 @@ class Trainer:
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# Logging
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# Logging
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if self.global_step % self.log_interval == 0:
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if self.global_step % self.log_interval == 0:
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avg_loss = total_loss / num_batches
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avg_loss = total_loss / num_batches if num_batches > 0 else 0.0
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lr = self.optimizer.param_groups[0]['lr']
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lr = self.optimizer.param_groups[0]['lr']
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progress_bar.set_postfix({
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progress_bar.set_postfix({
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'loss': f'{avg_loss:.4f}',
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'loss': f'{avg_loss:.4f}',
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@@ -207,15 +208,18 @@ class Trainer:
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train_loss=avg_loss,
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train_loss=avg_loss,
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lr=lr,
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lr=lr,
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)
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)
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except KeyboardInterrupt:
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# Re-raise to be handled by outer try-except
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raise
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# Evaluation
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# Evaluation (only reached if no interruption)
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if self.val_loader is not None and self.global_step % self.eval_interval == 0:
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if self.val_loader is not None and self.global_step % self.eval_interval == 0:
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val_loss = self.evaluate()
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val_loss = self.evaluate()
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if val_loss < self.best_val_loss:
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if val_loss < self.best_val_loss:
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self.best_val_loss = val_loss
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self.best_val_loss = val_loss
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self.save_checkpoint(is_best=True)
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self.save_checkpoint(is_best=True)
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avg_loss = total_loss / num_batches
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avg_loss = total_loss / num_batches if num_batches > 0 else 0.0
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# Log epoch metrics
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# Log epoch metrics
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self.metrics.log(
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self.metrics.log(
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