training wip
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@@ -22,7 +22,6 @@ import pandas as pd
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# Import checkpoint management
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import torch
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from utils.checkpoint_manager import save_checkpoint, load_best_checkpoint
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from utils.training_integration import get_training_integration
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logger = logging.getLogger(__name__)
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@@ -84,7 +83,7 @@ class NegativeCaseTrainer:
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# Checkpoint management
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self.model_name = model_name
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self.enable_checkpoints = enable_checkpoints
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self.training_integration = get_training_integration() if enable_checkpoints else None
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self.training_integration = None # Removed dependency on utils.training_integration
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self.training_session_count = 0
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self.best_loss_reduction = 0.0
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self.checkpoint_frequency = 25 # Save checkpoint every 25 training sessions
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