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Mardiyyah/tapt_reinit_only_4K_no_reinit_classifier_llrd0.9_LR-2e-05
tapt_reinit_only_4K_no_reinit_classifier_llrd0.9_LR-2e-05 is a fill-mask model from Mardiyyah. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
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 microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext on the Mardiyyah/TAPT_data_V2_split 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 |
|---|---|---|---|
| 1.8199 | 1.0 | 609 | 1.6390 |
| 1.6303 | 2.0 | 1218 | 1.6489 |
| 1.5042 | 3.0 | 1827 | 1.5989 |
| 1.4113 | 4.0 | 2436 | 1.6950 |
| 1.3254 | 5.0 | 3045 | 1.6834 |
| 1.2811 | 6.0 | 3654 | 1.7477 |
| 1.2411 | 7.0 | 4263 | 1.7607 |
| 1.1898 | 8.0 | 4872 | 1.7285 |
| 1.146 | 9.0 | 5481 | 1.7246 |
| 1.1379 | 10.0 | 6090 | 1.7101 |
| 1.1208 | 11.0 | 6699 | 1.6693 |
| 1.0634 | 12.0 | 7308 | 1.7053 |
| 1.0582 | 13.0 | 7917 | 1.6786 |
| 1.0313 | 14.0 | 8526 | 1.7939 |
| 1.0062 | 15.0 | 9135 | 1.7675 |
| 0.9965 | 16.0 | 9744 | 1.7152 |
| 0.9845 | 17.0 | 10353 | 1.6762 |
| 0.9914 | 18.0 | 10962 | 1.7251 |
| 0.9665 | 19.0 | 11571 | 1.7469 |
| 0.9734 | 20.0 | 12180 | 1.7760 |