| { | |
| "best_metric": 0.8180039138943248, | |
| "best_model_checkpoint": "tiny-bert-sst2-distilled/run-14/checkpoint-3830", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 4596, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 2.48061203956604, | |
| "learning_rate": 4.112696231809907e-05, | |
| "loss": 0.4707, | |
| "step": 766 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7847358121330724, | |
| "eval_f1": 0.8018018018018018, | |
| "eval_loss": 0.4169985055923462, | |
| "eval_precision": 0.7429048414023373, | |
| "eval_recall": 0.8708414872798435, | |
| "eval_runtime": 130.438, | |
| "eval_samples_per_second": 7.835, | |
| "eval_steps_per_second": 1.963, | |
| "step": 766 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 12.212409019470215, | |
| "learning_rate": 3.290156985447925e-05, | |
| "loss": 0.4238, | |
| "step": 1532 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.799412915851272, | |
| "eval_f1": 0.8038277511961722, | |
| "eval_loss": 0.40348485112190247, | |
| "eval_precision": 0.7865168539325843, | |
| "eval_recall": 0.821917808219178, | |
| "eval_runtime": 131.3303, | |
| "eval_samples_per_second": 7.782, | |
| "eval_steps_per_second": 1.949, | |
| "step": 1532 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 3.2959482669830322, | |
| "learning_rate": 2.4676177390859443e-05, | |
| "loss": 0.413, | |
| "step": 2298 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.812133072407045, | |
| "eval_f1": 0.8212290502793296, | |
| "eval_loss": 0.4022705852985382, | |
| "eval_precision": 0.783303730017762, | |
| "eval_recall": 0.863013698630137, | |
| "eval_runtime": 131.8559, | |
| "eval_samples_per_second": 7.751, | |
| "eval_steps_per_second": 1.942, | |
| "step": 2298 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 6.280675411224365, | |
| "learning_rate": 1.6450784927239627e-05, | |
| "loss": 0.4075, | |
| "step": 3064 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8091976516634051, | |
| "eval_f1": 0.8196114708603145, | |
| "eval_loss": 0.39988988637924194, | |
| "eval_precision": 0.7771929824561403, | |
| "eval_recall": 0.8669275929549902, | |
| "eval_runtime": 129.5664, | |
| "eval_samples_per_second": 7.888, | |
| "eval_steps_per_second": 1.976, | |
| "step": 3064 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 18.869022369384766, | |
| "learning_rate": 8.225392463619813e-06, | |
| "loss": 0.3963, | |
| "step": 3830 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8180039138943248, | |
| "eval_f1": 0.8327338129496402, | |
| "eval_loss": 0.3992269039154053, | |
| "eval_precision": 0.7703826955074875, | |
| "eval_recall": 0.9060665362035225, | |
| "eval_runtime": 131.856, | |
| "eval_samples_per_second": 7.751, | |
| "eval_steps_per_second": 1.942, | |
| "step": 3830 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 16.301708221435547, | |
| "learning_rate": 0.0, | |
| "loss": 0.3934, | |
| "step": 4596 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8180039138943248, | |
| "eval_f1": 0.8299817184643509, | |
| "eval_loss": 0.39675089716911316, | |
| "eval_precision": 0.7787307032590052, | |
| "eval_recall": 0.8884540117416829, | |
| "eval_runtime": 129.9145, | |
| "eval_samples_per_second": 7.867, | |
| "eval_steps_per_second": 1.971, | |
| "step": 4596 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4596, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 6, | |
| "save_steps": 500, | |
| "total_flos": 1414171183680.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.694449127189597, | |
| "learning_rate": 4.935235478171889e-05, | |
| "num_train_epochs": 6, | |
| "temperature": 10 | |
| } | |
| } | |