| { | |
| "best_metric": 0.9402162367647223, | |
| "best_model_checkpoint": "model_saves/roberta-large_lemon_5k_2_p3/checkpoint-268", | |
| "epoch": 4.0, | |
| "global_step": 1072, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9402162367647223, | |
| "eval_loss": 0.42938709259033203, | |
| "eval_runtime": 3.3638, | |
| "eval_samples_per_second": 1302.688, | |
| "eval_steps_per_second": 10.405, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9395509788794597, | |
| "eval_loss": 0.4404939115047455, | |
| "eval_runtime": 3.3672, | |
| "eval_samples_per_second": 1301.368, | |
| "eval_steps_per_second": 10.394, | |
| "step": 536 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9392435067476157, | |
| "eval_loss": 0.4706648588180542, | |
| "eval_runtime": 3.366, | |
| "eval_samples_per_second": 1301.851, | |
| "eval_steps_per_second": 10.398, | |
| "step": 804 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 1e-05, | |
| "loss": 0.29, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9388074553606368, | |
| "eval_loss": 0.5094670653343201, | |
| "eval_runtime": 3.3584, | |
| "eval_samples_per_second": 1304.803, | |
| "eval_steps_per_second": 10.422, | |
| "step": 1072 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "step": 1072, | |
| "total_flos": 1.3886616305139712e+16, | |
| "train_loss": 0.284751944577516, | |
| "train_runtime": 319.1108, | |
| "train_samples_per_second": 1612.48, | |
| "train_steps_per_second": 12.598 | |
| } | |
| ], | |
| "max_steps": 4020, | |
| "num_train_epochs": 15, | |
| "total_flos": 1.3886616305139712e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |