Upload logs/evaluation_log_20251031_142602.txt with huggingface_hub

logs/evaluation_log_20251031_142602.txt

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+[2025-10-31 14:26:02,399] [INFO] Logging to outputs/runs/textcnn/logs/evaluation_log_20251031_142602.txt
+[2025-10-31 14:26:02,400] [INFO] Arguments: {'model_name': 'vinai/phobert-base', 'arch': 'textcnn', 'train_file': 'data/ViHOS_train.csv', 'valid_file': 'data/ViHOS_dev.csv', 'test_file': 'data/ViHOS_test.csv', 'output_dir': None, 'run_name': 'textcnn', 'max_length': 64, 'batch_size': 32, 'learning_rate': 5e-06, 'epochs': 100, 'early_stopping_patience': 5, 'seed': 42, 'task': 'hate-speech-span', 'push_to_hub': False, 'hub_repo': None, 'use_trainer': False}
+[2025-10-31 14:26:02,412] [INFO] Using device: cuda
+[2025-10-31 14:26:06,975] [INFO] Epoch: 1
+[2025-10-31 14:26:09,036] [INFO] Training loss: 0.655807
+[2025-10-31 14:26:09,036] [INFO] Validation loss: 0.642824
+[2025-10-31 14:26:09,036] [INFO] Span F1-score: 0.439485
+[2025-10-31 14:26:09,036] [INFO] Training progress — Best F1 so far: 0.439485
+[2025-10-31 14:26:09,036] [INFO] Epoch: 2
+[2025-10-31 14:26:10,442] [INFO] Training loss: 0.620364
+[2025-10-31 14:26:10,442] [INFO] Validation loss: 0.624889
+[2025-10-31 14:26:10,442] [INFO] Span F1-score: 0.453133
+[2025-10-31 14:26:10,442] [INFO] Training progress — Best F1 so far: 0.453133
+[2025-10-31 14:26:10,442] [INFO] Epoch: 3
+[2025-10-31 14:26:11,850] [INFO] Training loss: 0.606680
+[2025-10-31 14:26:11,850] [INFO] Validation loss: 0.616876
+[2025-10-31 14:26:11,850] [INFO] Span F1-score: 0.453271
+[2025-10-31 14:26:11,850] [INFO] Training progress — Best F1 so far: 0.453271
+[2025-10-31 14:26:11,850] [INFO] Epoch: 4
+[2025-10-31 14:26:13,254] [INFO] Training loss: 0.599384
+[2025-10-31 14:26:13,254] [INFO] Validation loss: 0.611766
+[2025-10-31 14:26:13,254] [INFO] Span F1-score: 0.453456
+[2025-10-31 14:26:13,255] [INFO] Training progress — Best F1 so far: 0.453456
+[2025-10-31 14:26:13,255] [INFO] Epoch: 5
+[2025-10-31 14:26:14,658] [INFO] Training loss: 0.594594
+[2025-10-31 14:26:14,658] [INFO] Validation loss: 0.607679
+[2025-10-31 14:26:14,658] [INFO] Span F1-score: 0.604918
+[2025-10-31 14:26:14,658] [INFO] Training progress — Best F1 so far: 0.604918
+[2025-10-31 14:26:14,658] [INFO] Epoch: 6
+[2025-10-31 14:26:16,066] [INFO] Training loss: 0.591179
+[2025-10-31 14:26:16,066] [INFO] Validation loss: 0.605253
+[2025-10-31 14:26:16,066] [INFO] Span F1-score: 0.604626
+[2025-10-31 14:26:16,066] [INFO] Training progress — Best F1 so far: 0.604918
+[2025-10-31 14:26:16,066] [INFO] Epoch: 7
+[2025-10-31 14:26:17,471] [INFO] Training loss: 0.588316
+[2025-10-31 14:26:17,471] [INFO] Validation loss: 0.604461
+[2025-10-31 14:26:17,471] [INFO] Span F1-score: 0.604008
+[2025-10-31 14:26:17,471] [INFO] Training progress — Best F1 so far: 0.604918
+[2025-10-31 14:26:17,471] [INFO] Epoch: 8
+[2025-10-31 14:26:18,876] [INFO] Training loss: 0.586042
+[2025-10-31 14:26:18,877] [INFO] Validation loss: 0.601409
+[2025-10-31 14:26:18,877] [INFO] Span F1-score: 0.604029
+[2025-10-31 14:26:18,877] [INFO] Training progress — Best F1 so far: 0.604918
+[2025-10-31 14:26:18,877] [INFO] Epoch: 9
+[2025-10-31 14:26:20,282] [INFO] Training loss: 0.583775
+[2025-10-31 14:26:20,282] [INFO] Validation loss: 0.600764
+[2025-10-31 14:26:20,282] [INFO] Span F1-score: 0.603177
+[2025-10-31 14:26:20,282] [INFO] Training progress — Best F1 so far: 0.604918
+[2025-10-31 14:26:20,282] [INFO] Epoch: 10
+[2025-10-31 14:26:21,689] [INFO] Training loss: 0.581835
+[2025-10-31 14:26:21,689] [INFO] Validation loss: 0.599894
+[2025-10-31 14:26:21,689] [INFO] Span F1-score: 0.603115
+[2025-10-31 14:26:21,689] [INFO] Early stopping triggered after 10 epochs. Best F1: 0.6049
+[2025-10-31 14:26:21,775] [INFO] Final metrics: {'f1': 0.6651398367495199, 'precision': 0.7268162403653606, 'recall': 0.6374626850561369, 'accuracy': 0.8732199367088608, 'exact_match': 0.012658227848101266}
+[2025-10-31 14:26:21,775] [INFO] Saving artifacts ...