bert-base-uncased-edos / all_results.json
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{
"epoch": 3.0,
"eval_accuracy": 0.87925,
"eval_classification_report": " precision recall f1-score support\n0 0.908042 0.935314 0.921476 3030.00000\n1 0.777019 0.704124 0.738778 970.00000\naccuracy 0.879250 0.879250 0.879250 0.87925\nmacro avg 0.842531 0.819719 0.830127 4000.00000\nweighted avg 0.876269 0.879250 0.877172 4000.00000",
"eval_confusion_matrix": "[[2834 196]\n [ 287 683]]",
"eval_confusion_matrix_norm": "[[0.93531353 0.06468647]\n [0.29587629 0.70412371]]",
"eval_f1": 0.7387777176852353,
"eval_f1_macro": 0.8301269502098749,
"eval_f1_weighted": 0.8771718049600645,
"eval_loss": 0.4823172092437744,
"eval_runtime": 9.6229,
"eval_samples": 4000,
"eval_samples_per_second": 415.677,
"eval_steps_per_second": 25.98,
"train_loss": 0.2520793151855469,
"train_runtime": 430.4281,
"train_samples": 16000,
"train_samples_per_second": 111.517,
"train_steps_per_second": 6.97
}