| { |
| "best_metric": 0.602571869042318, |
| "best_model_checkpoint": "tiny-llama/checkpoint-160", |
| "epoch": 0.995334370139969, |
| "eval_steps": 500, |
| "global_step": 160, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.7869868319132456, |
| "eval_f1_macro": 0.602571869042318, |
| "eval_f1_micro": 0.7869868319132455, |
| "eval_f1_weighted": 0.7752313093692699, |
| "eval_loss": 0.6672300100326538, |
| "eval_macro_fpr": 0.019618845690595806, |
| "eval_macro_sensitivity": 0.6223339304749645, |
| "eval_macro_specificity": 0.9839698388016963, |
| "eval_precision": 0.7799565431301605, |
| "eval_precision_macro": 0.6206625059288113, |
| "eval_recall": 0.7869868319132456, |
| "eval_recall_macro": 0.6223339304749645, |
| "eval_runtime": 1156.4947, |
| "eval_samples_per_second": 1.116, |
| "eval_steps_per_second": 0.14, |
| "eval_weighted_fpr": 0.018966825298296436, |
| "eval_weighted_sensitivity": 0.7869868319132456, |
| "eval_weighted_specificity": 0.9725607501121987, |
| "step": 160 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 1600, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 10, |
| "save_steps": 500, |
| "total_flos": 6.197742432524698e+16, |
| "train_batch_size": 8, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|