<!-- 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_t6_8M_UR50D-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9779
- F1: 0.6889
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.4851 | 1.0 | 3889 | 0.4861 | 0.6872 |
| 0.4488 | 2.0 | 7778 | 0.4719 | 0.7281 |
| 0.4295 | 3.0 | 11667 | 0.4673 | 0.7058 |
| 0.3715 | 4.0 | 15556 | 0.4958 | 0.6915 |
| 0.3327 | 5.0 | 19445 | 0.5318 | 0.7078 |
| 0.2772 | 6.0 | 23334 | 0.6072 | 0.6889 |
| 0.2295 | 7.0 | 27223 | 0.7068 | 0.6918 |
| 0.1744 | 8.0 | 31112 | 0.8172 | 0.6966 |
| 0.1294 | 9.0 | 35001 | 0.9287 | 0.6928 |
| 0.1149 | 10.0 | 38890 | 0.9779 | 0.6889 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
