| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 9.6, |
| "eval_steps": 500, |
| "global_step": 1200, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.4, |
| "grad_norm": 1.4144182205200195, |
| "learning_rate": 1e-05, |
| "loss": 18.4388, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.8, |
| "grad_norm": 1.4249975681304932, |
| "learning_rate": 1e-05, |
| "loss": 18.1874, |
| "step": 100 |
| }, |
| { |
| "epoch": 1.2, |
| "grad_norm": 1.4133256673812866, |
| "learning_rate": 1e-05, |
| "loss": 18.5653, |
| "step": 150 |
| }, |
| { |
| "epoch": 1.6, |
| "grad_norm": 1.4150230884552002, |
| "learning_rate": 1e-05, |
| "loss": 18.2896, |
| "step": 200 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 1.3994524478912354, |
| "learning_rate": 1e-05, |
| "loss": 18.2811, |
| "step": 250 |
| }, |
| { |
| "epoch": 2.4, |
| "grad_norm": 1.411582589149475, |
| "learning_rate": 1e-05, |
| "loss": 18.2745, |
| "step": 300 |
| }, |
| { |
| "epoch": 2.8, |
| "grad_norm": 1.412042260169983, |
| "learning_rate": 1e-05, |
| "loss": 18.3006, |
| "step": 350 |
| }, |
| { |
| "epoch": 3.2, |
| "grad_norm": 1.3946020603179932, |
| "learning_rate": 1e-05, |
| "loss": 18.2483, |
| "step": 400 |
| }, |
| { |
| "epoch": 3.6, |
| "grad_norm": 1.426118016242981, |
| "learning_rate": 1e-05, |
| "loss": 18.3318, |
| "step": 450 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 1.406415581703186, |
| "learning_rate": 1e-05, |
| "loss": 18.3778, |
| "step": 500 |
| }, |
| { |
| "epoch": 4.4, |
| "grad_norm": 1.3917016983032227, |
| "learning_rate": 1e-05, |
| "loss": 18.3467, |
| "step": 550 |
| }, |
| { |
| "epoch": 4.8, |
| "grad_norm": 1.3939944505691528, |
| "learning_rate": 1e-05, |
| "loss": 18.2646, |
| "step": 600 |
| }, |
| { |
| "epoch": 5.2, |
| "grad_norm": 1.4108140468597412, |
| "learning_rate": 1e-05, |
| "loss": 18.1088, |
| "step": 650 |
| }, |
| { |
| "epoch": 5.6, |
| "grad_norm": 1.3781177997589111, |
| "learning_rate": 1e-05, |
| "loss": 18.4145, |
| "step": 700 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 1.396727442741394, |
| "learning_rate": 1e-05, |
| "loss": 18.2402, |
| "step": 750 |
| }, |
| { |
| "epoch": 6.4, |
| "grad_norm": 1.3952558040618896, |
| "learning_rate": 1e-05, |
| "loss": 18.3918, |
| "step": 800 |
| }, |
| { |
| "epoch": 6.8, |
| "grad_norm": 1.3488835096359253, |
| "learning_rate": 1e-05, |
| "loss": 18.5743, |
| "step": 850 |
| }, |
| { |
| "epoch": 7.2, |
| "grad_norm": 1.2782988548278809, |
| "learning_rate": 1e-05, |
| "loss": 18.3489, |
| "step": 900 |
| }, |
| { |
| "epoch": 7.6, |
| "grad_norm": 1.2682045698165894, |
| "learning_rate": 1e-05, |
| "loss": 18.8168, |
| "step": 950 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 1.2467010021209717, |
| "learning_rate": 1e-05, |
| "loss": 18.5312, |
| "step": 1000 |
| }, |
| { |
| "epoch": 8.4, |
| "grad_norm": 1.239147663116455, |
| "learning_rate": 1e-05, |
| "loss": 18.543, |
| "step": 1050 |
| }, |
| { |
| "epoch": 8.8, |
| "grad_norm": 1.0708495378494263, |
| "learning_rate": 1e-05, |
| "loss": 18.9617, |
| "step": 1100 |
| }, |
| { |
| "epoch": 9.2, |
| "grad_norm": 0.7776874303817749, |
| "learning_rate": 1e-05, |
| "loss": 19.1334, |
| "step": 1150 |
| }, |
| { |
| "epoch": 9.6, |
| "grad_norm": 0.7262330651283264, |
| "learning_rate": 1e-05, |
| "loss": 19.6455, |
| "step": 1200 |
| } |
| ], |
| "logging_steps": 50, |
| "max_steps": 5000, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 40, |
| "save_steps": 200, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 0.0, |
| "train_batch_size": 4, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|