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gokuls/hBERTv2_new_pretrain_w_init__mrpc
hBERTv2_new_pretrain_w_init__mrpc is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init on the GLUE MRPC 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 | Combined Score |
|---|---|---|---|---|---|---|
| 0.6576 | 1.0 | 29 | 0.5908 | 0.7059 | 0.8193 | 0.7626 |
| 0.6172 | 2.0 | 58 | 0.6228 | 0.6495 | 0.7433 | 0.6964 |
| 0.5641 | 3.0 | 87 | 0.6026 | 0.6936 | 0.7780 | 0.7358 |
| 0.4682 | 4.0 | 116 | 0.6339 | 0.7034 | 0.7973 | 0.7504 |
| 0.3677 | 5.0 | 145 | 0.9408 | 0.6495 | 0.7307 | 0.6901 |
| 0.2183 | 6.0 | 174 | 0.8311 | 0.6544 | 0.7478 | 0.7011 |