transfer_learning_bert_large
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This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | Auc |
---|---|---|---|---|---|---|
0.4921 | 1.0 | 364 | 0.4610 | 0.7809 | 0.7809 | 0.8659 |
0.2376 | 2.0 | 728 | 0.4979 | 0.8101 | 0.8101 | 0.8899 |