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esm2_t6_8M_UR50D-finetuned-Xmas-project
This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 56.7855
- Validation Loss: 101.4410
- Epoch: 9
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 494.7048 | 197.2008 | 0 |
| 149.9308 | 127.9843 | 1 |
| 110.7755 | 105.5121 | 2 |
| 94.8339 | 100.2063 | 3 |
| 83.1885 | 101.8379 | 4 |
| 75.9772 | 108.3454 | 5 |
| 69.3844 | 110.1212 | 6 |
| 64.3868 | 97.5026 | 7 |
| 60.4573 | 100.1366 | 8 |
| 56.7855 | 101.4410 | 9 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2
