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keanhean/esm2_t30_150M_UR50D-pfam-classification
esm2_t30_150M_UR50D-pfam-classification is a text classification model from keanhean. Use it when you need a label for a piece of text. 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 facebook/esm2_t30_150M_UR50D on the None 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 |
|---|---|---|---|---|
| No log | 0.9966 | 222 | 3.0116 | 0.4560 |
| No log | 1.9978 | 445 | 2.3631 | 0.5747 |
| 2.9792 | 2.9989 | 668 | 1.9594 | 0.6399 |
| 2.9792 | 4.0 | 891 | 1.6825 | 0.6916 |
| 1.6634 | 4.9966 | 1113 | 1.4988 | 0.7316 |
| 1.6634 | 5.9978 | 1336 | 1.3650 | 0.7539 |
| 1.0252 | 6.9989 | 1559 | 1.2806 | 0.7627 |
| 1.0252 | 8.0 | 1782 | 1.2271 | 0.7699 |
| 1.0252 | 8.9697 | 1998 | 1.2090 | 0.7686 |