| { | |
| "best_metric": 1.1056212186813354, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-6000", | |
| "epoch": 112.0, | |
| "eval_steps": 1000, | |
| "global_step": 7000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 2.7777777777777777e-11, | |
| "loss": 1.5477, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.2028, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.3387225548902196, | |
| "eval_loss": 1.1078879833221436, | |
| "eval_runtime": 54.1057, | |
| "eval_samples_per_second": 92.596, | |
| "eval_steps_per_second": 11.588, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1152, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.3349301397205589, | |
| "eval_loss": 1.1080944538116455, | |
| "eval_runtime": 54.2029, | |
| "eval_samples_per_second": 92.43, | |
| "eval_steps_per_second": 11.568, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1036, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.3377245508982036, | |
| "eval_loss": 1.1081210374832153, | |
| "eval_runtime": 54.0467, | |
| "eval_samples_per_second": 92.698, | |
| "eval_steps_per_second": 11.601, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.0895, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.33912175648702597, | |
| "eval_loss": 1.1072543859481812, | |
| "eval_runtime": 54.1318, | |
| "eval_samples_per_second": 92.552, | |
| "eval_steps_per_second": 11.583, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "learning_rate": 1.3880555555555558e-07, | |
| "loss": 1.0748, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.3435129740518962, | |
| "eval_loss": 1.1071943044662476, | |
| "eval_runtime": 54.4121, | |
| "eval_samples_per_second": 92.075, | |
| "eval_steps_per_second": 11.523, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.055, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "eval_accuracy": 0.3459081836327345, | |
| "eval_loss": 1.1056212186813354, | |
| "eval_runtime": 54.092, | |
| "eval_samples_per_second": 92.62, | |
| "eval_steps_per_second": 11.591, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 112.0, | |
| "learning_rate": 1.9433333333333334e-07, | |
| "loss": 1.0352, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 112.0, | |
| "eval_accuracy": 0.3469061876247505, | |
| "eval_loss": 1.1121071577072144, | |
| "eval_runtime": 53.9318, | |
| "eval_samples_per_second": 92.895, | |
| "eval_steps_per_second": 11.626, | |
| "step": 7000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 161291, | |
| "save_steps": 1000, | |
| "total_flos": 1.4632485912576e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |