| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 9.394285714285715, | |
| "eval_steps": 500, | |
| "global_step": 1500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 9.326113116726836e-05, | |
| "loss": 0.9377, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 8.122743682310469e-05, | |
| "loss": 0.866, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "eval_loss": 0.867071270942688, | |
| "eval_runtime": 166.3463, | |
| "eval_samples_per_second": 1.803, | |
| "eval_steps_per_second": 0.228, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "learning_rate": 6.919374247894104e-05, | |
| "loss": 0.8347, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 5.03, | |
| "learning_rate": 5.7160048134777375e-05, | |
| "loss": 0.8181, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 6.26, | |
| "learning_rate": 4.5126353790613716e-05, | |
| "loss": 0.7979, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 6.26, | |
| "eval_loss": 0.8691695332527161, | |
| "eval_runtime": 166.0527, | |
| "eval_samples_per_second": 1.807, | |
| "eval_steps_per_second": 0.229, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 3.3092659446450064e-05, | |
| "loss": 0.7893, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 8.73, | |
| "learning_rate": 2.1058965102286405e-05, | |
| "loss": 0.7738, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 9.39, | |
| "eval_loss": 0.8755550980567932, | |
| "eval_runtime": 165.9873, | |
| "eval_samples_per_second": 1.807, | |
| "eval_steps_per_second": 0.229, | |
| "step": 1500 | |
| } | |
| ], | |
| "logging_steps": 200, | |
| "max_steps": 1750, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 1.899984780703826e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |