| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.8333333333333334, | |
| "eval_steps": 25, | |
| "global_step": 150, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 6.271986484527588, | |
| "learning_rate": 2.3847695390781562e-05, | |
| "loss": 0.9018, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_loss": 0.6543389558792114, | |
| "eval_runtime": 33.9351, | |
| "eval_samples_per_second": 1.798, | |
| "eval_steps_per_second": 0.236, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 6.715949535369873, | |
| "learning_rate": 2.2595190380761526e-05, | |
| "loss": 0.6032, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_loss": 0.6594853401184082, | |
| "eval_runtime": 33.9905, | |
| "eval_samples_per_second": 1.795, | |
| "eval_steps_per_second": 0.235, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 5.575837135314941, | |
| "learning_rate": 2.1342685370741483e-05, | |
| "loss": 0.5277, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_loss": 0.6358431577682495, | |
| "eval_runtime": 33.9553, | |
| "eval_samples_per_second": 1.796, | |
| "eval_steps_per_second": 0.236, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 6.133337020874023, | |
| "learning_rate": 2.0090180360721444e-05, | |
| "loss": 0.4387, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "eval_loss": 0.6550642251968384, | |
| "eval_runtime": 33.9823, | |
| "eval_samples_per_second": 1.795, | |
| "eval_steps_per_second": 0.235, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 7.314888954162598, | |
| "learning_rate": 1.8837675350701404e-05, | |
| "loss": 0.4692, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_loss": 0.6102645993232727, | |
| "eval_runtime": 33.9789, | |
| "eval_samples_per_second": 1.795, | |
| "eval_steps_per_second": 0.235, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 5.678727149963379, | |
| "learning_rate": 1.7585170340681365e-05, | |
| "loss": 0.4364, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "eval_loss": 0.6225055456161499, | |
| "eval_runtime": 34.038, | |
| "eval_samples_per_second": 1.792, | |
| "eval_steps_per_second": 0.235, | |
| "step": 150 | |
| } | |
| ], | |
| "logging_steps": 25, | |
| "max_steps": 500, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 25, | |
| "total_flos": 6631558270156800.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |