| ----- report ----- | |
| precision recall f1-score support | |
| 0 0.98 0.99 0.98 26181947 | |
| . 0.91 0.92 0.92 1382956 | |
| , 0.82 0.72 0.77 1347569 | |
| ? 0.76 0.75 0.75 116022 | |
| - 0.82 0.60 0.69 199077 | |
| : 0.81 0.73 0.76 151017 | |
| accuracy 0.97 29378588 | |
| macro avg 0.85 0.78 0.81 29378588 | |
| weighted avg 0.97 0.97 0.97 29378588 | |
| ----- confusion matrix ----- | |
| t/p 0 . , ? - : | |
| 0 1.0 0.0 0.0 0.0 0.0 0.0 | |
| . 0.1 0.9 0.0 0.0 0.0 0.0 | |
| , 0.3 0.0 0.7 0.0 0.0 0.0 | |
| ? 0.2 0.1 0.0 0.7 0.0 0.0 | |
| - 0.3 0.0 0.1 0.0 0.6 0.0 | |
| : 0.2 0.0 0.0 0.0 0.0 0.7 | |
| {'eval_loss': 0.09778209030628204, 'eval_f1': 0.8127300278497737, 'eval_precision': 0.8505971964347974, 'eval_recall': 0.7825453583600391, 'eval_accuracy': 0.9672826685884292, 'eval_runtime': 228.8368, 'eval_samples_per_second': 251.734, 'eval_steps_per_second': 31.468, 'epoch': 2.0} | |
| {'train_runtime': 9212.1556, 'train_samples_per_second': 62.224, 'train_steps_per_second': 7.778, 'train_loss': 0.10716916574063842, 'epoch': 2.0} | |