| { |
| "best_metric": 0.2773796319961548, |
| "best_model_checkpoint": "./models/results_semeval_2017_task_7_693/checkpoint-40", |
| "epoch": 0.9078014184397163, |
| "global_step": 40, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.11, |
| "eval_accuracy": 0.7047146401985112, |
| "eval_f1": 0.826783114992722, |
| "eval_loss": 0.5785936117172241, |
| "eval_precision": 0.7047146401985112, |
| "eval_recall": 1.0, |
| "eval_runtime": 2.1163, |
| "eval_samples_per_second": 190.428, |
| "eval_steps_per_second": 24.099, |
| "step": 5 |
| }, |
| { |
| "epoch": 0.18, |
| "learning_rate": 4.0909090909090915e-05, |
| "loss": 0.6121, |
| "step": 8 |
| }, |
| { |
| "epoch": 0.23, |
| "eval_accuracy": 0.7047146401985112, |
| "eval_f1": 0.826783114992722, |
| "eval_loss": 0.512681782245636, |
| "eval_precision": 0.7047146401985112, |
| "eval_recall": 1.0, |
| "eval_runtime": 2.1906, |
| "eval_samples_per_second": 183.972, |
| "eval_steps_per_second": 23.282, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.34, |
| "eval_accuracy": 0.7047146401985112, |
| "eval_f1": 0.826783114992722, |
| "eval_loss": 0.41043248772621155, |
| "eval_precision": 0.7047146401985112, |
| "eval_recall": 1.0, |
| "eval_runtime": 2.1431, |
| "eval_samples_per_second": 188.049, |
| "eval_steps_per_second": 23.798, |
| "step": 15 |
| }, |
| { |
| "epoch": 0.36, |
| "learning_rate": 3.181818181818182e-05, |
| "loss": 0.5116, |
| "step": 16 |
| }, |
| { |
| "epoch": 0.45, |
| "eval_accuracy": 0.7568238213399504, |
| "eval_f1": 0.8515151515151514, |
| "eval_loss": 0.37497952580451965, |
| "eval_precision": 0.7473404255319149, |
| "eval_recall": 0.9894366197183099, |
| "eval_runtime": 2.1596, |
| "eval_samples_per_second": 186.61, |
| "eval_steps_per_second": 23.616, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.54, |
| "learning_rate": 2.272727272727273e-05, |
| "loss": 0.3673, |
| "step": 24 |
| }, |
| { |
| "epoch": 0.57, |
| "eval_accuracy": 0.8883374689826302, |
| "eval_f1": 0.9189189189189191, |
| "eval_loss": 0.28403061628341675, |
| "eval_precision": 0.940959409594096, |
| "eval_recall": 0.897887323943662, |
| "eval_runtime": 2.1799, |
| "eval_samples_per_second": 184.873, |
| "eval_steps_per_second": 23.396, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.68, |
| "eval_accuracy": 0.8957816377171216, |
| "eval_f1": 0.9275862068965517, |
| "eval_loss": 0.3391099274158478, |
| "eval_precision": 0.9087837837837838, |
| "eval_recall": 0.9471830985915493, |
| "eval_runtime": 2.1847, |
| "eval_samples_per_second": 184.465, |
| "eval_steps_per_second": 23.344, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.73, |
| "learning_rate": 1.4772727272727274e-05, |
| "loss": 0.3116, |
| "step": 32 |
| }, |
| { |
| "epoch": 0.79, |
| "eval_accuracy": 0.890818858560794, |
| "eval_f1": 0.9230769230769231, |
| "eval_loss": 0.31251412630081177, |
| "eval_precision": 0.9166666666666666, |
| "eval_recall": 0.9295774647887324, |
| "eval_runtime": 2.1117, |
| "eval_samples_per_second": 190.845, |
| "eval_steps_per_second": 24.152, |
| "step": 35 |
| }, |
| { |
| "epoch": 0.91, |
| "learning_rate": 5.681818181818182e-06, |
| "loss": 0.2684, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.91, |
| "eval_accuracy": 0.890818858560794, |
| "eval_f1": 0.9225352112676056, |
| "eval_loss": 0.2773796319961548, |
| "eval_precision": 0.9225352112676056, |
| "eval_recall": 0.9225352112676056, |
| "eval_runtime": 2.1762, |
| "eval_samples_per_second": 185.184, |
| "eval_steps_per_second": 23.435, |
| "step": 40 |
| } |
| ], |
| "max_steps": 44, |
| "num_train_epochs": 1, |
| "total_flos": 111822198528000.0, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
