| { |
| "best_metric": 0.16098131239414215, |
| "best_model_checkpoint": "distilbert-base-uncased-finetuned-clinc-oos-plus/run-3/checkpoint-1547", |
| "epoch": 12.891666666666667, |
| "eval_steps": 119, |
| "global_step": 1547, |
| "is_hyper_param_search": true, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.9916666666666667, |
| "grad_norm": 0.8229151964187622, |
| "learning_rate": 1.8474358974358976e-05, |
| "loss": 0.7547, |
| "step": 119 |
| }, |
| { |
| "epoch": 0.9916666666666667, |
| "eval_accuracy": 0.05806451612903226, |
| "eval_loss": 0.6397132277488708, |
| "eval_runtime": 5.2726, |
| "eval_samples_per_second": 587.944, |
| "eval_steps_per_second": 4.741, |
| "step": 119 |
| }, |
| { |
| "epoch": 1.9833333333333334, |
| "grad_norm": 0.8302074074745178, |
| "learning_rate": 1.694871794871795e-05, |
| "loss": 0.5809, |
| "step": 238 |
| }, |
| { |
| "epoch": 1.9833333333333334, |
| "eval_accuracy": 0.2719354838709677, |
| "eval_loss": 0.4648343324661255, |
| "eval_runtime": 5.2864, |
| "eval_samples_per_second": 586.41, |
| "eval_steps_per_second": 4.729, |
| "step": 238 |
| }, |
| { |
| "epoch": 2.975, |
| "grad_norm": 0.9633338451385498, |
| "learning_rate": 1.5423076923076925e-05, |
| "loss": 0.439, |
| "step": 357 |
| }, |
| { |
| "epoch": 2.975, |
| "eval_accuracy": 0.5116129032258064, |
| "eval_loss": 0.34660565853118896, |
| "eval_runtime": 5.2338, |
| "eval_samples_per_second": 592.302, |
| "eval_steps_per_second": 4.777, |
| "step": 357 |
| }, |
| { |
| "epoch": 3.966666666666667, |
| "grad_norm": 0.9026358723640442, |
| "learning_rate": 1.3897435897435898e-05, |
| "loss": 0.3438, |
| "step": 476 |
| }, |
| { |
| "epoch": 3.966666666666667, |
| "eval_accuracy": 0.6358064516129033, |
| "eval_loss": 0.27853256464004517, |
| "eval_runtime": 5.3024, |
| "eval_samples_per_second": 584.642, |
| "eval_steps_per_second": 4.715, |
| "step": 476 |
| }, |
| { |
| "epoch": 4.958333333333333, |
| "grad_norm": 0.9341942667961121, |
| "learning_rate": 1.2371794871794874e-05, |
| "loss": 0.2875, |
| "step": 595 |
| }, |
| { |
| "epoch": 4.958333333333333, |
| "eval_accuracy": 0.7029032258064516, |
| "eval_loss": 0.23647043108940125, |
| "eval_runtime": 5.2502, |
| "eval_samples_per_second": 590.453, |
| "eval_steps_per_second": 4.762, |
| "step": 595 |
| }, |
| { |
| "epoch": 5.95, |
| "grad_norm": 0.9973844289779663, |
| "learning_rate": 1.0846153846153847e-05, |
| "loss": 0.2494, |
| "step": 714 |
| }, |
| { |
| "epoch": 5.95, |
| "eval_accuracy": 0.7335483870967742, |
| "eval_loss": 0.21039870381355286, |
| "eval_runtime": 5.252, |
| "eval_samples_per_second": 590.253, |
| "eval_steps_per_second": 4.76, |
| "step": 714 |
| }, |
| { |
| "epoch": 6.941666666666666, |
| "grad_norm": 0.6948856115341187, |
| "learning_rate": 9.320512820512821e-06, |
| "loss": 0.2245, |
| "step": 833 |
| }, |
| { |
| "epoch": 6.941666666666666, |
| "eval_accuracy": 0.7548387096774194, |
| "eval_loss": 0.19484896957874298, |
| "eval_runtime": 5.252, |
| "eval_samples_per_second": 590.25, |
| "eval_steps_per_second": 4.76, |
| "step": 833 |
| }, |
| { |
| "epoch": 7.933333333333334, |
| "grad_norm": 0.8398630619049072, |
| "learning_rate": 7.794871794871796e-06, |
| "loss": 0.2056, |
| "step": 952 |
| }, |
| { |
| "epoch": 7.933333333333334, |
| "eval_accuracy": 0.7638709677419355, |
| "eval_loss": 0.1842084378004074, |
| "eval_runtime": 5.2457, |
| "eval_samples_per_second": 590.959, |
| "eval_steps_per_second": 4.766, |
| "step": 952 |
| }, |
| { |
| "epoch": 8.925, |
| "grad_norm": 0.6326949596405029, |
| "learning_rate": 6.26923076923077e-06, |
| "loss": 0.1936, |
| "step": 1071 |
| }, |
| { |
| "epoch": 8.925, |
| "eval_accuracy": 0.7748387096774193, |
| "eval_loss": 0.17528517544269562, |
| "eval_runtime": 5.2596, |
| "eval_samples_per_second": 589.395, |
| "eval_steps_per_second": 4.753, |
| "step": 1071 |
| }, |
| { |
| "epoch": 9.916666666666666, |
| "grad_norm": 0.953779935836792, |
| "learning_rate": 4.743589743589744e-06, |
| "loss": 0.183, |
| "step": 1190 |
| }, |
| { |
| "epoch": 9.916666666666666, |
| "eval_accuracy": 0.7806451612903226, |
| "eval_loss": 0.16899022459983826, |
| "eval_runtime": 5.2384, |
| "eval_samples_per_second": 591.781, |
| "eval_steps_per_second": 4.772, |
| "step": 1190 |
| }, |
| { |
| "epoch": 10.908333333333333, |
| "grad_norm": 0.7265395522117615, |
| "learning_rate": 3.2179487179487186e-06, |
| "loss": 0.1746, |
| "step": 1309 |
| }, |
| { |
| "epoch": 10.908333333333333, |
| "eval_accuracy": 0.785483870967742, |
| "eval_loss": 0.16413316130638123, |
| "eval_runtime": 5.2583, |
| "eval_samples_per_second": 589.547, |
| "eval_steps_per_second": 4.754, |
| "step": 1309 |
| }, |
| { |
| "epoch": 11.9, |
| "grad_norm": 0.70655357837677, |
| "learning_rate": 1.6923076923076926e-06, |
| "loss": 0.1714, |
| "step": 1428 |
| }, |
| { |
| "epoch": 11.9, |
| "eval_accuracy": 0.7838709677419354, |
| "eval_loss": 0.16201290488243103, |
| "eval_runtime": 5.2735, |
| "eval_samples_per_second": 587.849, |
| "eval_steps_per_second": 4.741, |
| "step": 1428 |
| }, |
| { |
| "epoch": 12.891666666666667, |
| "grad_norm": 0.671647310256958, |
| "learning_rate": 1.6666666666666668e-07, |
| "loss": 0.1687, |
| "step": 1547 |
| }, |
| { |
| "epoch": 12.891666666666667, |
| "eval_accuracy": 0.7870967741935484, |
| "eval_loss": 0.16098131239414215, |
| "eval_runtime": 5.3094, |
| "eval_samples_per_second": 583.865, |
| "eval_steps_per_second": 4.709, |
| "step": 1547 |
| } |
| ], |
| "logging_steps": 119, |
| "max_steps": 1560, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 13, |
| "save_steps": 119, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 1176872678392572.0, |
| "train_batch_size": 128, |
| "trial_name": null, |
| "trial_params": { |
| "alpha": 0.147000328655721, |
| "num_train_epochs": 13, |
| "temperature": 6 |
| } |
| } |
|
|
