added result, 21.3950
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@@ -23,11 +23,11 @@ if __name__ == '__main__':
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config_dict['results_path'] = os.path.join(project_root, "results")
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config_dict['data_path'] = os.path.join(project_root, "data", "dataset")
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config_dict['device'] = None
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config_dict['learningrate'] = 3e-4 # Optimal learning rate for AdamW
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config_dict['weight_decay'] = 1e-4 # Slightly higher for better regularization
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config_dict['n_updates'] = 5000 # More updates for better convergence
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config_dict['learningrate'] = 2e-4 # Slightly lower for stable training
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config_dict['weight_decay'] = 5e-5 # Reduced weight decay
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config_dict['n_updates'] = 8000 # More updates for better convergence
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config_dict['batchsize'] = 8 # Smaller batch for better gradient estimates
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config_dict['early_stopping_patience'] = 10 # More patience for complex model
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config_dict['early_stopping_patience'] = 15 # More patience for complex model
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config_dict['use_wandb'] = False
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config_dict['print_train_stats_at'] = 10
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@@ -37,8 +37,8 @@ if __name__ == '__main__':
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network_config = {
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'n_in_channels': 4,
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'base_channels': 48, # Good balance between capacity and memory
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'dropout': 0.1 # Regularization
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'base_channels': 56, # Increased capacity for better feature learning
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'dropout': 0.08 # Slightly less dropout with augmentation
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}
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config_dict['network_config'] = network_config
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