| { | |
| "best_metric": 1.1149991750717163, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-9000", | |
| "epoch": 144.0, | |
| "eval_steps": 1000, | |
| "global_step": 9000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 2.7777777777777777e-11, | |
| "loss": 1.2395, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 2.7638888888888893e-08, | |
| "loss": 1.1422, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.33073852295409184, | |
| "eval_loss": 1.1557353734970093, | |
| "eval_runtime": 54.1805, | |
| "eval_samples_per_second": 92.469, | |
| "eval_steps_per_second": 11.572, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 5.541666666666667e-08, | |
| "loss": 1.1401, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.3311377245508982, | |
| "eval_loss": 1.1507551670074463, | |
| "eval_runtime": 53.98, | |
| "eval_samples_per_second": 92.812, | |
| "eval_steps_per_second": 11.615, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 8.316666666666666e-08, | |
| "loss": 1.1287, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.3321357285429142, | |
| "eval_loss": 1.1441665887832642, | |
| "eval_runtime": 53.9873, | |
| "eval_samples_per_second": 92.8, | |
| "eval_steps_per_second": 11.614, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "learning_rate": 1.1094444444444445e-07, | |
| "loss": 1.117, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.3287425149700599, | |
| "eval_loss": 1.134506344795227, | |
| "eval_runtime": 54.0067, | |
| "eval_samples_per_second": 92.766, | |
| "eval_steps_per_second": 11.61, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "learning_rate": 1.3872222222222222e-07, | |
| "loss": 1.1111, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.32954091816367265, | |
| "eval_loss": 1.1283142566680908, | |
| "eval_runtime": 54.0921, | |
| "eval_samples_per_second": 92.62, | |
| "eval_steps_per_second": 11.591, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "learning_rate": 1.6650000000000002e-07, | |
| "loss": 1.1053, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "eval_accuracy": 0.32894211576846305, | |
| "eval_loss": 1.1218452453613281, | |
| "eval_runtime": 54.0607, | |
| "eval_samples_per_second": 92.674, | |
| "eval_steps_per_second": 11.598, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 112.0, | |
| "learning_rate": 1.9422222222222223e-07, | |
| "loss": 1.0952, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 112.0, | |
| "eval_accuracy": 0.33073852295409184, | |
| "eval_loss": 1.118302583694458, | |
| "eval_runtime": 53.9252, | |
| "eval_samples_per_second": 92.906, | |
| "eval_steps_per_second": 11.627, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 128.0, | |
| "learning_rate": 2.2197222222222225e-07, | |
| "loss": 1.0909, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 128.0, | |
| "eval_accuracy": 0.3281437125748503, | |
| "eval_loss": 1.1167163848876953, | |
| "eval_runtime": 54.095, | |
| "eval_samples_per_second": 92.615, | |
| "eval_steps_per_second": 11.591, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 144.0, | |
| "learning_rate": 2.4975e-07, | |
| "loss": 1.0838, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 144.0, | |
| "eval_accuracy": 0.3317365269461078, | |
| "eval_loss": 1.1149991750717163, | |
| "eval_runtime": 54.0536, | |
| "eval_samples_per_second": 92.686, | |
| "eval_steps_per_second": 11.6, | |
| "step": 9000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 161291, | |
| "save_steps": 1000, | |
| "total_flos": 1.8813196173312e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |