| { | |
| "best_metric": 0.7596717467760844, | |
| "best_model_checkpoint": "deberta-classification-transcripts/checkpoint-4325", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 4325, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 8.84393063583815e-06, | |
| "loss": 0.4483, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.09210526315789473, | |
| "eval_f1": 0.6887254901960784, | |
| "eval_loss": 0.2805722951889038, | |
| "eval_roc_auc": 0.7836829389177116, | |
| "eval_runtime": 1.7776, | |
| "eval_samples_per_second": 42.755, | |
| "eval_steps_per_second": 42.755, | |
| "step": 865 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 7.687861271676302e-06, | |
| "loss": 0.339, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 6.531791907514451e-06, | |
| "loss": 0.2866, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.10526315789473684, | |
| "eval_f1": 0.7407407407407407, | |
| "eval_loss": 0.22884871065616608, | |
| "eval_roc_auc": 0.8162958199606408, | |
| "eval_runtime": 1.7174, | |
| "eval_samples_per_second": 44.252, | |
| "eval_steps_per_second": 44.252, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 5.375722543352601e-06, | |
| "loss": 0.265, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "learning_rate": 4.219653179190752e-06, | |
| "loss": 0.2368, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.06578947368421052, | |
| "eval_f1": 0.7450058754406581, | |
| "eval_loss": 0.20490357279777527, | |
| "eval_roc_auc": 0.8221279142285448, | |
| "eval_runtime": 1.7181, | |
| "eval_samples_per_second": 44.235, | |
| "eval_steps_per_second": 44.235, | |
| "step": 2595 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "learning_rate": 3.063583815028902e-06, | |
| "loss": 0.2351, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.09210526315789473, | |
| "eval_f1": 0.7520759193357057, | |
| "eval_loss": 0.19738489389419556, | |
| "eval_roc_auc": 0.8239552326387778, | |
| "eval_runtime": 1.7202, | |
| "eval_samples_per_second": 44.18, | |
| "eval_steps_per_second": 44.18, | |
| "step": 3460 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "learning_rate": 1.907514450867052e-06, | |
| "loss": 0.2232, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "learning_rate": 7.514450867052025e-07, | |
| "loss": 0.2127, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.10526315789473684, | |
| "eval_f1": 0.7596717467760844, | |
| "eval_loss": 0.19270123541355133, | |
| "eval_roc_auc": 0.830700986111798, | |
| "eval_runtime": 1.7179, | |
| "eval_samples_per_second": 44.241, | |
| "eval_steps_per_second": 44.241, | |
| "step": 4325 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4325, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 1138312891315200.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |