| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 3.737456242707118, |
| "eval_steps": 250, |
| "global_step": 2000, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.46674445740956827, |
| "grad_norm": 6.355308532714844, |
| "learning_rate": 9.899294610497411e-05, |
| "loss": 3.4363, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.46674445740956827, |
| "eval_loss": 0.2021917849779129, |
| "eval_runtime": 11.2146, |
| "eval_samples_per_second": 7.758, |
| "eval_steps_per_second": 7.758, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.9334889148191365, |
| "grad_norm": 2.1196815967559814, |
| "learning_rate": 9.378729871108362e-05, |
| "loss": 1.1086, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.9334889148191365, |
| "eval_loss": 0.13436643779277802, |
| "eval_runtime": 11.2216, |
| "eval_samples_per_second": 7.753, |
| "eval_steps_per_second": 7.753, |
| "step": 500 |
| }, |
| { |
| "epoch": 1.4014002333722286, |
| "grad_norm": 0.9552448391914368, |
| "learning_rate": 8.459812499901582e-05, |
| "loss": 0.817, |
| "step": 750 |
| }, |
| { |
| "epoch": 1.4014002333722286, |
| "eval_loss": 0.12236687541007996, |
| "eval_runtime": 11.2082, |
| "eval_samples_per_second": 7.762, |
| "eval_steps_per_second": 7.762, |
| "step": 750 |
| }, |
| { |
| "epoch": 1.8681446907817971, |
| "grad_norm": 0.8024685978889465, |
| "learning_rate": 7.226140518225348e-05, |
| "loss": 0.7757, |
| "step": 1000 |
| }, |
| { |
| "epoch": 1.8681446907817971, |
| "eval_loss": 0.11266180872917175, |
| "eval_runtime": 11.2333, |
| "eval_samples_per_second": 7.745, |
| "eval_steps_per_second": 7.745, |
| "step": 1000 |
| }, |
| { |
| "epoch": 2.336056009334889, |
| "grad_norm": 1.2465705871582031, |
| "learning_rate": 5.7899465814766306e-05, |
| "loss": 0.6768, |
| "step": 1250 |
| }, |
| { |
| "epoch": 2.336056009334889, |
| "eval_loss": 0.11375312507152557, |
| "eval_runtime": 11.2449, |
| "eval_samples_per_second": 7.737, |
| "eval_steps_per_second": 7.737, |
| "step": 1250 |
| }, |
| { |
| "epoch": 2.8028004667444573, |
| "grad_norm": 1.350077748298645, |
| "learning_rate": 4.281887672695056e-05, |
| "loss": 0.6549, |
| "step": 1500 |
| }, |
| { |
| "epoch": 2.8028004667444573, |
| "eval_loss": 0.10809295624494553, |
| "eval_runtime": 11.217, |
| "eval_samples_per_second": 7.756, |
| "eval_steps_per_second": 7.756, |
| "step": 1500 |
| }, |
| { |
| "epoch": 3.2707117852975496, |
| "grad_norm": 1.6034570932388306, |
| "learning_rate": 2.8391586527038743e-05, |
| "loss": 0.627, |
| "step": 1750 |
| }, |
| { |
| "epoch": 3.2707117852975496, |
| "eval_loss": 0.10999161005020142, |
| "eval_runtime": 11.2004, |
| "eval_samples_per_second": 7.768, |
| "eval_steps_per_second": 7.768, |
| "step": 1750 |
| }, |
| { |
| "epoch": 3.737456242707118, |
| "grad_norm": 1.894575595855713, |
| "learning_rate": 1.5930110302808637e-05, |
| "loss": 0.5768, |
| "step": 2000 |
| }, |
| { |
| "epoch": 3.737456242707118, |
| "eval_loss": 0.10841962695121765, |
| "eval_runtime": 11.2, |
| "eval_samples_per_second": 7.768, |
| "eval_steps_per_second": 7.768, |
| "step": 2000 |
| } |
| ], |
| "logging_steps": 250, |
| "max_steps": 2675, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 5, |
| "save_steps": 250, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 3.153354536978227e+17, |
| "train_batch_size": 2, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|