| { | |
| "best_metric": 1.0955135822296143, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-7000", | |
| "epoch": 0.28520208604954367, | |
| "eval_steps": 1000, | |
| "global_step": 7000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "learning_rate": 2.7777777777777777e-11, | |
| "loss": 1.1506, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.1326, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.3331337325349301, | |
| "eval_loss": 1.1057127714157104, | |
| "eval_runtime": 61.3538, | |
| "eval_samples_per_second": 81.657, | |
| "eval_steps_per_second": 10.219, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1238, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.33812375249501, | |
| "eval_loss": 1.1044437885284424, | |
| "eval_runtime": 61.256, | |
| "eval_samples_per_second": 81.788, | |
| "eval_steps_per_second": 10.236, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1251, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3407185628742515, | |
| "eval_loss": 1.1043975353240967, | |
| "eval_runtime": 61.2433, | |
| "eval_samples_per_second": 81.805, | |
| "eval_steps_per_second": 10.238, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1205, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.3387225548902196, | |
| "eval_loss": 1.100860357284546, | |
| "eval_runtime": 61.4457, | |
| "eval_samples_per_second": 81.535, | |
| "eval_steps_per_second": 10.204, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3880555555555558e-07, | |
| "loss": 1.1192, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.34151696606786425, | |
| "eval_loss": 1.1005476713180542, | |
| "eval_runtime": 61.2568, | |
| "eval_samples_per_second": 81.787, | |
| "eval_steps_per_second": 10.236, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1145, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3508982035928144, | |
| "eval_loss": 1.0979759693145752, | |
| "eval_runtime": 61.2221, | |
| "eval_samples_per_second": 81.833, | |
| "eval_steps_per_second": 10.241, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9433333333333334e-07, | |
| "loss": 1.1164, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.35508982035928144, | |
| "eval_loss": 1.0955135822296143, | |
| "eval_runtime": 61.255, | |
| "eval_samples_per_second": 81.789, | |
| "eval_steps_per_second": 10.236, | |
| "step": 7000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 1.4632485912576e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |