metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
base_model: facebook/esm2_t6_8M_UR50D
model-index:
- name: esm2_t6_8M_UR50D-localization-v1-finetuned-localization
results: []
esm2_t6_8M_UR50D-localization-v1-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: 1.2123
- F1: 0.7355
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| 0.4992 | 1.0 | 2048 | 0.5178 | 0.5567 |
| 0.4623 | 2.0 | 4096 | 0.3970 | 0.6536 |
| 0.3754 | 3.0 | 6144 | 0.5035 | 0.7153 |
| 0.3396 | 4.0 | 8192 | 0.6703 | 0.6598 |
| 0.2128 | 5.0 | 10240 | 0.7133 | 0.6876 |
| 0.1336 | 6.0 | 12288 | 0.9024 | 0.7065 |
| 0.0607 | 7.0 | 14336 | 0.9994 | 0.6841 |
| 0.025 | 8.0 | 16384 | 1.1050 | 0.7046 |
| 0.0098 | 9.0 | 18432 | 1.2199 | 0.7119 |
| 0.0047 | 10.0 | 20480 | 1.2123 | 0.7355 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3