| { |
| "best_metric": 0.014878712478886842, |
| "best_model_checkpoint": "tiny-llama/checkpoint-1", |
| "epoch": 0.0015552099533437014, |
| "eval_steps": 500, |
| "global_step": 1, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.0, |
| "eval_accuracy": 0.022463206816421378, |
| "eval_f1_macro": 0.014878712478886842, |
| "eval_f1_micro": 0.02246320681642138, |
| "eval_f1_weighted": 0.021101822374009954, |
| "eval_loss": 4.1563401222229, |
| "eval_macro_fpr": 0.4479452594392761, |
| "eval_macro_sensitivity": 0.06168923132504932, |
| "eval_macro_specificity": 0.9325328659403387, |
| "eval_precision": 0.07571006152540787, |
| "eval_precision_macro": 0.032699496485226985, |
| "eval_recall": 0.022463206816421378, |
| "eval_recall_macro": 0.06168923132504932, |
| "eval_runtime": 235.6581, |
| "eval_samples_per_second": 5.478, |
| "eval_steps_per_second": 0.687, |
| "eval_weighted_fpr": 0.7565947242206235, |
| "eval_weighted_sensitivity": 0.022463206816421378, |
| "eval_weighted_specificity": 0.9655297822886598, |
| "step": 1 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 1, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 1, |
| "save_steps": 500, |
| "total_flos": 24125116514304.0, |
| "train_batch_size": 8, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|