| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 1.0, |
| "eval_steps": 1000, |
| "global_step": 2788, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.0003586800573888092, |
| "grad_norm": 5.261780738830566, |
| "learning_rate": 0.0, |
| "loss": 1.248, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.3586800573888092, |
| "grad_norm": 6.529983043670654, |
| "learning_rate": 4.562574730968513e-05, |
| "loss": 1.223, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.3586800573888092, |
| "eval_cosine_accuracy": 0.9625617861747742, |
| "eval_loss": 0.4690546989440918, |
| "eval_runtime": 59.1908, |
| "eval_samples_per_second": 160.65, |
| "eval_steps_per_second": 0.642, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.7173601147776184, |
| "grad_norm": 5.523382186889648, |
| "learning_rate": 3.5661618174571546e-05, |
| "loss": 0.8193, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.7173601147776184, |
| "eval_cosine_accuracy": 0.9603533744812012, |
| "eval_loss": 0.44776350259780884, |
| "eval_runtime": 56.9539, |
| "eval_samples_per_second": 166.959, |
| "eval_steps_per_second": 0.667, |
| "step": 2000 |
| } |
| ], |
| "logging_steps": 1000, |
| "max_steps": 5576, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 2, |
| "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 |
| } |
|
|