eval_loss = 0.17808516323566437
eval_precision = 0.8430268069222938
eval_recall = 0.855745384403417
eval_f1 = 0.8493384841543878
eval_accuracy = 0.975430554937475
eval_matrix = [[4007, 4, 58, 78, 0, 9, 460], [0, 4872, 9, 0, 41, 0, 456], [62, 14, 3706, 3, 0, 187, 452], [107, 0, 3, 2829, 0, 29, 275], [0, 23, 0, 0, 1398, 0, 207], [9, 3, 144, 28, 3, 2151, 399], [397, 414, 581, 253, 356, 457, 200226]]
eval_classification_report =               precision    recall  f1-score   support

     Anatomy       0.84      0.85      0.84      4649
    Chemical       0.90      0.89      0.89      5402
     Disease       0.79      0.82      0.80      4465

   micro avg       0.84      0.86      0.85     14516
   macro avg       0.84      0.85      0.85     14516
weighted avg       0.84      0.86      0.85     14516

eval_runtime = 69.3988
eval_samples_per_second = 35.491
eval_steps_per_second = 8.876
epoch = 15.0