<!-- 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-localization-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: 0.7547
- F1: 0.8183
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: 0.0001
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3596 | 1.0 | 2023 | 0.3449 | 0.7802 |
| 0.3354 | 2.0 | 4046 | 0.3388 | 0.7868 |
| 0.3027 | 3.0 | 6069 | 0.3313 | 0.8031 |
| 0.2656 | 4.0 | 8092 | 0.3528 | 0.8116 |
| 0.2145 | 5.0 | 10115 | 0.4154 | 0.8022 |
| 0.1636 | 6.0 | 12138 | 0.4949 | 0.8129 |
| 0.0957 | 7.0 | 14161 | 0.5287 | 0.8121 |
| 0.0594 | 8.0 | 16184 | 0.6614 | 0.8073 |
| 0.0439 | 9.0 | 18207 | 0.6858 | 0.8158 |
| 0.0139 | 10.0 | 20230 | 0.7547 | 0.8183 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
