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eval_loss = 0.17402765154838562
eval_precision = 0.8519104303671023
eval_recall = 0.8661870503597122
eval_f1 = 0.8589894242068155
eval_accuracy = 0.9750561746748678
eval_matrix = [[1841, 0, 31, 44, 0, 4, 219], [0, 4941, 10, 0, 36, 0, 360], [71, 17, 3565, 1, 0, 172, 420], [64, 0, 1, 1221, 0, 28, 102], [0, 25, 0, 0, 1476, 2, 245], [2, 3, 119, 35, 6, 2095, 463], [360, 282, 417, 227, 226, 404, 156701]]
eval_classification_report = precision recall f1-score support
Anatomy 0.76 0.84 0.80 2162
Chemical 0.92 0.92 0.92 5371
Disease 0.82 0.82 0.82 4282
micro avg 0.85 0.87 0.86 11815
macro avg 0.83 0.86 0.84 11815
weighted avg 0.85 0.87 0.86 11815
eval_runtime = 54.806
eval_samples_per_second = 36.273
eval_steps_per_second = 9.068
epoch = 15.0
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