| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 10.0, |
| "eval_steps": 500, |
| "global_step": 370, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.8234661221504211, |
| "eval_f1": "[0.91702786 0.33333333 0. 0.10837438]", |
| "eval_loss": 0.48905953764915466, |
| "eval_runtime": 8.4871, |
| "eval_samples_per_second": 218.92, |
| "eval_steps_per_second": 3.535, |
| "step": 37 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8320775032043457, |
| "eval_f1": "[0.93139159 0.48466258 0. 0.22857143]", |
| "eval_loss": 0.47622746229171753, |
| "eval_runtime": 8.4411, |
| "eval_samples_per_second": 220.115, |
| "eval_steps_per_second": 3.554, |
| "step": 74 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.820775032043457, |
| "eval_f1": "[0.92995725 0.44887781 0. 0.19266055]", |
| "eval_loss": 0.5084477066993713, |
| "eval_runtime": 8.3479, |
| "eval_samples_per_second": 222.571, |
| "eval_steps_per_second": 3.594, |
| "step": 111 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8105489611625671, |
| "eval_f1": "[0.92421691 0.44444444 0.06557377 0.30769231]", |
| "eval_loss": 0.5519338846206665, |
| "eval_runtime": 8.1137, |
| "eval_samples_per_second": 228.996, |
| "eval_steps_per_second": 3.697, |
| "step": 148 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8293864130973816, |
| "eval_f1": "[0.93531353 0.52336449 0.09345794 0.27131783]", |
| "eval_loss": 0.5805315971374512, |
| "eval_runtime": 8.8001, |
| "eval_samples_per_second": 211.135, |
| "eval_steps_per_second": 3.409, |
| "step": 185 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.7954789996147156, |
| "eval_f1": "[0.91344509 0.55305466 0.15463918 0.29166667]", |
| "eval_loss": 0.6778322458267212, |
| "eval_runtime": 7.8496, |
| "eval_samples_per_second": 236.701, |
| "eval_steps_per_second": 3.822, |
| "step": 222 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8213132619857788, |
| "eval_f1": "[0.93298292 0.51383399 0.10191083 0.2519084 ]", |
| "eval_loss": 0.6407278776168823, |
| "eval_runtime": 8.767, |
| "eval_samples_per_second": 211.931, |
| "eval_steps_per_second": 3.422, |
| "step": 259 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.827233612537384, |
| "eval_f1": "[0.9326288 0.55052265 0.18181818 0.26271186]", |
| "eval_loss": 0.6639025807380676, |
| "eval_runtime": 8.0873, |
| "eval_samples_per_second": 229.742, |
| "eval_steps_per_second": 3.709, |
| "step": 296 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_accuracy": 0.8191604018211365, |
| "eval_f1": "[0.93071286 0.55830389 0.11042945 0.2761194 ]", |
| "eval_loss": 0.6863259077072144, |
| "eval_runtime": 7.9866, |
| "eval_samples_per_second": 232.64, |
| "eval_steps_per_second": 3.756, |
| "step": 333 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_accuracy": 0.81431645154953, |
| "eval_f1": "[0.92816572 0.56028369 0.1 0.2633452 ]", |
| "eval_loss": 0.6886363625526428, |
| "eval_runtime": 7.7254, |
| "eval_samples_per_second": 240.504, |
| "eval_steps_per_second": 3.883, |
| "step": 370 |
| }, |
| { |
| "epoch": 10.0, |
| "step": 370, |
| "total_flos": 1537911734661120.0, |
| "train_loss": 0.21409231649862753, |
| "train_runtime": 515.9059, |
| "train_samples_per_second": 45.318, |
| "train_steps_per_second": 0.717 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 370, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 10, |
| "save_steps": 500, |
| "total_flos": 1537911734661120.0, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|