<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
esm2_t12_35M_UR50D-finetuned-finetuned
This model is a fine-tuned version of glenn2/esm2_t12_35M_UR50D-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1851
- Accuracy: 0.9212
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1896 | 1.0 | 239134 | 0.1923 | 0.9199 |
| 0.1911 | 2.0 | 478268 | 0.1898 | 0.9204 |
| 0.1867 | 3.0 | 717402 | 0.1851 | 0.9212 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
