| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 1.0, |
| "eval_steps": 1000, |
| "global_step": 2165, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.00046189376443418013, |
| "grad_norm": 7.368561744689941, |
| "learning_rate": 0.0, |
| "loss": 3.6183, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.4618937644341801, |
| "eval_cosine_accuracy": 0.9518148303031921, |
| "eval_loss": 1.2476075887680054, |
| "eval_runtime": 21.6936, |
| "eval_samples_per_second": 438.147, |
| "eval_steps_per_second": 1.752, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.9237875288683602, |
| "eval_cosine_accuracy": 0.9532877206802368, |
| "eval_loss": 1.1978851556777954, |
| "eval_runtime": 21.447, |
| "eval_samples_per_second": 443.185, |
| "eval_steps_per_second": 1.772, |
| "step": 2000 |
| }, |
| { |
| "epoch": 1.0, |
| "grad_norm": 18.16141128540039, |
| "learning_rate": 1.7780970953505083e-05, |
| "loss": 2.4107, |
| "step": 2165 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 10825, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 5, |
| "save_steps": 500, |
| "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": 256, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
