{ "mlflow": { "run_info": { "run_id": "210093e9836e4ef7afba5e46090581e8", "experiment_id": "23", "experiment_name": "flan_t5_case_summarization_2", "start_time": "2025-07-23 20:12:40", "end_time": "2025-07-23 20:28:09", "status": "FINISHED", "artifact_uri": "/opt/chl_ai/mlflow-shared/artifacts/23/210093e9836e4ef7afba5e46090581e8/artifacts" }, "metrics": { "train_loss": 0.8403207376599312, "val_loss": 0.8030835062265396, "rouge1": 0.5803799961294582, "rouge2": 0.3623171509619263, "rougeL": 0.5324796786743748 }, "params": { "train_data_path": "data/train_data.jsonl", "learning_rate": "3e-05", "output_dir": "output/flan_t5_case_summarization", "batch_size": "1", "num_epochs": "3", "save_checkpoints": "True", "model_name": "google/flan-t5-base", "val_data_path": "data/test_data.jsonl", "weight_decay": "0.01", "adam_epsilon": "1e-08", "max_target_length": "256", "warmup_ratio": "0.1", "wandb_project": "flan-t5-case-summarization", "run_name": "flan-t5-large-legal-cases", "max_source_length": "1024", "use_wandb": "False" }, "tags": { "mlflow.user": "miriam", "mlflow.source.name": "/home/miriam/miniconda3/envs/case-dev/lib/python3.10/site-packages/ipykernel_launcher.py", "mlflow.source.type": "LOCAL", "mlflow.runName": "beautiful-cat-502" } }, "user": {}, "export": { "method": "unknown", "timestamp": "2025-10-01T16:01:02.925489", "version": "1", "mode": "metrics_only" } }