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---
license: mit
base_model: facebook/esm2_t30_150M_UR50D
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: esm2_t30_150M_UR50D-pfam-classification
results: []
---
<!-- 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_t30_150M_UR50D-pfam-classification
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2090
- Accuracy: 0.7686
## 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: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log | 0.9966 | 222 | 3.0116 | 0.4560 |
| No log | 1.9978 | 445 | 2.3631 | 0.5747 |
| 2.9792 | 2.9989 | 668 | 1.9594 | 0.6399 |
| 2.9792 | 4.0 | 891 | 1.6825 | 0.6916 |
| 1.6634 | 4.9966 | 1113 | 1.4988 | 0.7316 |
| 1.6634 | 5.9978 | 1336 | 1.3650 | 0.7539 |
| 1.0252 | 6.9989 | 1559 | 1.2806 | 0.7627 |
| 1.0252 | 8.0 | 1782 | 1.2271 | 0.7699 |
| 1.0252 | 8.9697 | 1998 | 1.2090 | 0.7686 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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