BERTu-ner / metrics.json
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Model files.
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{
"best_epoch": 33,
"peak_worker_0_memory_MB": 4608.48828125,
"peak_gpu_0_memory_MB": 4295.302734375,
"training_duration": "0:02:50.854943",
"training_start_epoch": 0,
"training_epochs": 52,
"epoch": 52,
"training_ner_accuracy": 1.0,
"training_ner_accuracy3": 1.0,
"training_ner_precision-overall": 0.9999999999999991,
"training_ner_recall-overall": 0.9999999999999991,
"training_ner_f1-measure-overall": 0.9999999999999492,
"training_loss": 7.62939453125e-06,
"training_worker_0_memory_MB": 4608.48828125,
"training_gpu_0_memory_MB": 4295.302734375,
"validation_ner_accuracy": 0.9371293001186239,
"validation_ner_accuracy3": 0.9572953736654805,
"validation_ner_precision-overall": 0.7948717948717942,
"validation_ner_recall-overall": 0.7815126050420161,
"validation_ner_f1-measure-overall": 0.7881355932202884,
"validation_loss": 234.9528350830078,
"best_validation_ner_accuracy": 0.9442467378410438,
"best_validation_ner_accuracy3": 0.9584816132858838,
"best_validation_ner_precision-overall": 0.822033898305084,
"best_validation_ner_recall-overall": 0.8151260504201674,
"best_validation_ner_f1-measure-overall": 0.8185654008438312,
"best_validation_loss": 242.68551635742188
}