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gokuls/hBERTv1_new_pretrain_48_KD_w_init_stsb
hBERTv1_new_pretrain_48_KD_w_init_stsb 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_KD_wt_init on the GLUE STSB 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 | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.3304 | 1.0 | 45 | 2.3593 | 0.1283 | 0.1100 | 0.1192 |
| 1.9951 | 2.0 | 90 | 2.5865 | 0.1746 | 0.1639 | 0.1692 |
| 1.8698 | 3.0 | 135 | 2.4068 | 0.1900 | 0.1928 | 0.1914 |
| 1.535 | 4.0 | 180 | 2.4625 | 0.2815 | 0.2884 | 0.2849 |
| 1.1788 | 5.0 | 225 | 2.6830 | 0.3003 | 0.2981 | 0.2992 |
| 0.8586 | 6.0 | 270 | 2.5719 | 0.3295 | 0.3452 | 0.3373 |