2025-11-30 15:13:23 - eval_codegen - INFO - Logging to: logs/codegen/eval_codegen_20251130_151323.log
2025-11-30 15:13:23 - eval_codegen - INFO - Monitor progress: tail -f logs/codegen/eval_codegen_20251130_151323.log
2025-11-30 15:13:23 - eval_codegen - INFO - ============================================================
2025-11-30 15:13:23 - eval_codegen - INFO - CodeGen Evaluation
2025-11-30 15:13:23 - eval_codegen - INFO - ============================================================
2025-11-30 15:13:23 - eval_codegen - INFO - Using GPU: NVIDIA GeForce RTX 5090
2025-11-30 15:13:23 - eval_codegen - INFO - Configuration:
2025-11-30 15:13:23 - eval_codegen - INFO -   checkpoint: model/checkpoints/run1-python-codegen
2025-11-30 15:13:23 - eval_codegen - INFO -   data: datasets/python
2025-11-30 15:13:23 - eval_codegen - INFO -   k: 5
2025-11-30 15:13:23 - eval_codegen - INFO -   batch_size: 8
2025-11-30 15:13:23 - eval_codegen - INFO -   device: cuda
2025-11-30 15:13:23 - eval_codegen - INFO - Loading model from model/checkpoints/run1-python-codegen...
2025-11-30 15:13:24 - eval_codegen - INFO - Model loaded and set to eval mode
2025-11-30 15:13:24 - eval_codegen - INFO - Loaded 19427 test examples
2025-11-30 15:13:24 - eval_codegen - INFO - Starting evaluation with batch_size=8, k=5
2025-11-30 15:13:24 - eval_codegen - INFO - Total batches: 2429
2025-11-30 16:23:24 - eval_codegen - INFO - Evaluation completed in 4201.16 seconds
2025-11-30 16:23:24 - eval_codegen - INFO - Average speed: 4.62 samples/second
2025-11-30 16:23:24 - eval_codegen - INFO - Metrics saved to: model/metrics/run1-python-codegen/metrics.json
2025-11-30 16:23:25 - eval_codegen - INFO - Detailed results saved to: model/metrics/run1-python-codegen/detailed_results.jsonl
2025-11-30 16:23:25 - eval_codegen - INFO - ============================================================
2025-11-30 16:23:25 - eval_codegen - INFO - EVALUATION RESULTS
2025-11-30 16:23:25 - eval_codegen - INFO - ============================================================
2025-11-30 16:23:25 - eval_codegen - INFO -   n: 19427
2025-11-30 16:23:25 - eval_codegen - INFO -   exact_match: 0.3559
2025-11-30 16:23:25 - eval_codegen - INFO -   exact_match_case_insensitive: 0.3607
2025-11-30 16:23:25 - eval_codegen - INFO -   topk_accuracy: 0.4397
2025-11-30 16:23:25 - eval_codegen - INFO -   avg_levenshtein: 8.0773
2025-11-30 16:23:25 - eval_codegen - INFO -   k: 5
2025-11-30 16:23:25 - eval_codegen - INFO -   device: cuda
2025-11-30 16:23:25 - eval_codegen - INFO -   batch_size: 8
2025-11-30 16:23:25 - eval_codegen - INFO -   elapsed_time_seconds: 4201.1572
2025-11-30 16:23:25 - eval_codegen - INFO -   samples_per_second: 4.6242
2025-11-30 16:23:25 - eval_codegen - INFO - Total evaluation time: 4201.16 seconds (70.02 minutes)