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Mozart-coder/BERT_prediction-6_tokenized
BERT_prediction-6_tokenized is a fill-mask model from Mozart-coder. Use it when you need the model to fill a missing word. 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 armheb/DNA_bert_6 on an unknown 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 |
|---|---|---|---|
| 0.0646 | 1.0 | 276 | 0.0370 |
| 0.0386 | 2.0 | 552 | 0.0348 |
| 0.0358 | 3.0 | 828 | 0.0336 |
| 0.0363 | 4.0 | 1104 | 0.0333 |
| 0.0357 | 5.0 | 1380 | 0.0334 |
| 0.0341 | 6.0 | 1656 | 0.0342 |
| 0.0342 | 7.0 | 1932 | 0.0341 |
| 0.0339 | 8.0 | 2208 | 0.0333 |
| 0.0332 | 9.0 | 2484 | 0.0344 |
| 0.0345 | 10.0 | 2760 | 0.0323 |