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gokuls/hBERTv2_new_pretrain_48_KD_qnli
hBERTv2_new_pretrain_48_KD_qnli 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_48_KD on the GLUE QNLI 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 |
|---|---|---|---|---|
| 0.6749 | 1.0 | 819 | 0.6686 | 0.5772 |
| 0.6495 | 2.0 | 1638 | 0.6449 | 0.6224 |
| 0.6018 | 3.0 | 2457 | 0.6230 | 0.6586 |
| 0.5325 | 4.0 | 3276 | 0.6508 | 0.6690 |
| 0.4632 | 5.0 | 4095 | 0.6195 | 0.6676 |
| 0.3951 | 6.0 | 4914 | 0.6860 | 0.6733 |
| 0.3376 | 7.0 | 5733 | 0.7480 | 0.6787 |
| 0.2891 | 8.0 | 6552 | 0.9469 | 0.6548 |
| 0.2489 | 9.0 | 7371 | 0.8288 | 0.6736 |
| 0.2173 | 10.0 | 8190 | 0.9671 | 0.6736 |