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gokuls/hBERTv1_new_pretrain_48_ver2_qqp
hBERTv1_new_pretrain_48_ver2_qqp 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_48 on the GLUE QQP 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 |
|---|---|---|---|---|---|---|
| 0.5561 | 1.0 | 5686 | 0.5524 | 0.7412 | 0.6035 | 0.6724 |
| 0.5673 | 2.0 | 11372 | 0.6397 | 0.6318 | 0.0 | 0.3159 |
| 0.6117 | 3.0 | 17058 | 0.6165 | 0.6692 | 0.4617 | 0.5654 |
| 0.64 | 4.0 | 22744 | 0.6586 | 0.6318 | 0.0 | 0.3159 |
| 0.6592 | 5.0 | 28430 | 0.6584 | 0.6318 | 0.0 | 0.3159 |
| 0.659 | 6.0 | 34116 | 0.6582 | 0.6318 | 0.0 | 0.3159 |