esm2_t33_650M_UR50D-10k-uniprot-classification
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: 0.5318
- Accuracy: 0.8818
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.9895 | 65 | 1.5025 | 0.6391 |
| No log | 1.9943 | 131 | 0.9955 | 0.7840 |
| No log | 2.9990 | 197 | 0.7501 | 0.8372 |
| No log | 3.9886 | 262 | 0.6199 | 0.8650 |
| No log | 4.9933 | 328 | 0.5642 | 0.8743 |
| No log | 5.9981 | 394 | 0.5376 | 0.8811 |
| No log | 6.9267 | 455 | 0.5318 | 0.8818 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
facebook/esm2_t33_650M_UR50D