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gokuls/hBERTv1_new_pretrain_w_init__wnli
hBERTv1_new_pretrain_w_init__wnli 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_v1_complete_training_new_wt_init on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9261 | 1.0 | 5 | 0.6915 | 0.5352 |
| 0.7312 | 2.0 | 10 | 0.6844 | 0.5634 |
| 0.7289 | 3.0 | 15 | 0.7337 | 0.5634 |
| 0.7656 | 4.0 | 20 | 0.7585 | 0.4366 |
| 0.7189 | 5.0 | 25 | 0.6906 | 0.5634 |
| 0.7167 | 6.0 | 30 | 0.6911 | 0.5634 |
| 0.7089 | 7.0 | 35 | 0.7182 | 0.4366 |