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----- 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}
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