metadata
license: mit
base_model: facebook/esm2_t33_650M_UR50D
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: esm2_t33_650M_UR50D-finetuned-localization
results: []
esm2_t33_650M_UR50D-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2770
- Accuracy: 0.7143
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 35 | 0.7696 | 0.5429 |
| No log | 2.0 | 70 | 0.6544 | 0.5714 |
| No log | 3.0 | 105 | 0.8123 | 0.6571 |
| No log | 4.0 | 140 | 0.9189 | 0.7429 |
| No log | 5.0 | 175 | 0.9507 | 0.7143 |
| No log | 6.0 | 210 | 1.1805 | 0.7429 |
| No log | 7.0 | 245 | 1.2770 | 0.7143 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1