| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 3.0, |
| "eval_steps": 500, |
| "global_step": 3048, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.4921259842519685, |
| "grad_norm": 0.0023708906956017017, |
| "learning_rate": 4.181430446194226e-05, |
| "loss": 0.0182, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.984251968503937, |
| "grad_norm": 0.005748015828430653, |
| "learning_rate": 3.361220472440945e-05, |
| "loss": 0.0125, |
| "step": 1000 |
| }, |
| { |
| "epoch": 1.4763779527559056, |
| "grad_norm": 0.020883610472083092, |
| "learning_rate": 2.5410104986876644e-05, |
| "loss": 0.0055, |
| "step": 1500 |
| }, |
| { |
| "epoch": 1.968503937007874, |
| "grad_norm": 0.0016900873742997646, |
| "learning_rate": 1.7208005249343835e-05, |
| "loss": 0.0073, |
| "step": 2000 |
| }, |
| { |
| "epoch": 2.4606299212598426, |
| "grad_norm": 0.0035135194193571806, |
| "learning_rate": 9.005905511811025e-06, |
| "loss": 0.0021, |
| "step": 2500 |
| }, |
| { |
| "epoch": 2.952755905511811, |
| "grad_norm": 0.0004347392823547125, |
| "learning_rate": 8.038057742782153e-07, |
| "loss": 0.0024, |
| "step": 3000 |
| }, |
| { |
| "epoch": 3.0, |
| "step": 3048, |
| "total_flos": 3.7763396378982973e+18, |
| "train_loss": 0.007946457738286554, |
| "train_runtime": 2551.8222, |
| "train_samples_per_second": 19.097, |
| "train_steps_per_second": 1.194 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 3048, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 3, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 3.7763396378982973e+18, |
| "train_batch_size": 16, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
