metadata
license: mit
base_model: facebook/esm2_t33_650M_UR50D
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: esm2_t33_650M_UR50D-uniprot-7class
results: []
esm2_t33_650M_UR50D-uniprot-7class
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: 0.4652
- Accuracy: 0.8605
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 0.9846 | 4 | 1.0980 | 0.6919 |
| No log | 1.9692 | 8 | 0.9456 | 0.6919 |
| No log | 2.9538 | 12 | 0.8277 | 0.6919 |
| No log | 3.9385 | 16 | 0.7322 | 0.7267 |
| No log | 4.9231 | 20 | 0.6554 | 0.7616 |
| No log | 5.9077 | 24 | 0.5913 | 0.8198 |
| No log | 6.8923 | 28 | 0.5352 | 0.8314 |
| No log | 7.8769 | 32 | 0.4964 | 0.8314 |
| No log | 8.8615 | 36 | 0.4736 | 0.8547 |
| No log | 9.8462 | 40 | 0.4652 | 0.8605 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1