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2025-11-30 06:22:42 - eval_gpu - INFO - Logging to: logs/codet5/eval_gpu_20251130_062242.log
2025-11-30 06:22:42 - eval_gpu - INFO - Monitor progress: tail -f logs/codet5/eval_gpu_20251130_062242.log
2025-11-30 06:22:42 - eval_gpu - INFO - ============================================================
2025-11-30 06:22:42 - eval_gpu - INFO - CodeT5+ Evaluation with GPU Support
2025-11-30 06:22:42 - eval_gpu - INFO - ============================================================
2025-11-30 06:22:42 - eval_gpu - INFO - Using GPU: NVIDIA GeForce RTX 4090
2025-11-30 06:22:42 - eval_gpu - INFO - Configuration:
2025-11-30 06:22:42 - eval_gpu - INFO - checkpoint: model/checkpoints/run1-python-codet5
2025-11-30 06:22:42 - eval_gpu - INFO - data: datasets/python
2025-11-30 06:22:42 - eval_gpu - INFO - k: 5
2025-11-30 06:22:42 - eval_gpu - INFO - device: cuda
2025-11-30 06:22:42 - eval_gpu - INFO - batch_size: 16
2025-11-30 06:22:42 - eval_gpu - INFO - Model and tokenizer loaded
2025-11-30 06:22:43 - eval_gpu - INFO - Model moved to cuda and set to eval mode
2025-11-30 06:22:44 - eval_gpu - INFO - Loaded 19427 test examples
2025-11-30 06:22:44 - eval_gpu - INFO - Starting evaluation...
2025-11-30 06:22:44 - eval_gpu - INFO - Total batches: 1215
2025-11-30 06:37:35 - eval_gpu - INFO - Evaluation completed in 892.93 seconds
2025-11-30 06:37:35 - eval_gpu - INFO - Average speed: 21.76 samples/second
2025-11-30 06:37:35 - eval_gpu - INFO - Metrics saved to: model/metrics/run1-python-codet5/metrics.json
2025-11-30 06:37:35 - eval_gpu - INFO - Detailed results saved to: model/metrics/run1-python-codet5/detailed_results.jsonl
2025-11-30 06:37:35 - eval_gpu - INFO - ============================================================
2025-11-30 06:37:35 - eval_gpu - INFO - EVALUATION RESULTS
2025-11-30 06:37:35 - eval_gpu - INFO - ============================================================
2025-11-30 06:37:35 - eval_gpu - INFO - n: 19427
2025-11-30 06:37:35 - eval_gpu - INFO - exact_match: 0.5606
2025-11-30 06:37:35 - eval_gpu - INFO - exact_match_case_insensitive: 0.5680
2025-11-30 06:37:35 - eval_gpu - INFO - topk_accuracy: 0.6600
2025-11-30 06:37:35 - eval_gpu - INFO - avg_levenshtein: 4.3544
2025-11-30 06:37:35 - eval_gpu - INFO - k: 5
2025-11-30 06:37:35 - eval_gpu - INFO - device: cuda
2025-11-30 06:37:35 - eval_gpu - INFO - batch_size: 16
2025-11-30 06:37:35 - eval_gpu - INFO - elapsed_time_seconds: 892.9316
2025-11-30 06:37:35 - eval_gpu - INFO - samples_per_second: 21.7564
2025-11-30 06:37:35 - eval_gpu - INFO - Total evaluation time: 892.93 seconds (14.88 minutes)
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