| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "global_step": 120, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.6000000000000003e-05, | |
| "loss": 0.7299, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5633802816901409, | |
| "eval_loss": 0.6923056840896606, | |
| "eval_runtime": 0.73, | |
| "eval_samples_per_second": 97.265, | |
| "eval_steps_per_second": 12.329, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 1.2e-05, | |
| "loss": 0.6982, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.38028169014084506, | |
| "eval_loss": 0.7026631832122803, | |
| "eval_runtime": 0.7338, | |
| "eval_samples_per_second": 96.754, | |
| "eval_steps_per_second": 12.265, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 0.6972, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.4507042253521127, | |
| "eval_loss": 0.7005189657211304, | |
| "eval_runtime": 0.7321, | |
| "eval_samples_per_second": 96.982, | |
| "eval_steps_per_second": 12.293, | |
| "step": 120 | |
| } | |
| ], | |
| "max_steps": 200, | |
| "num_train_epochs": 5, | |
| "total_flos": 501226560460800.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |