esm_finetuned
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| No log | 1.0 | 8 | 0.0703 |
| 0.0992 | 2.0 | 16 | 0.0554 |
| 0.0516 | 3.0 | 24 | 0.0550 |
| 0.0533 | 4.0 | 32 | 0.0460 |
| 0.0359 | 5.0 | 40 | 0.0361 |
| 0.0359 | 6.0 | 48 | 0.0268 |
| 0.027 | 7.0 | 56 | 0.0201 |
| 0.0151 | 8.0 | 64 | 0.0151 |
| 0.0138 | 9.0 | 72 | 0.0116 |
| 0.0124 | 10.0 | 80 | 0.0094 |
| 0.0124 | 11.0 | 88 | 0.0102 |
| 0.0085 | 12.0 | 96 | 0.0106 |
| 0.0062 | 13.0 | 104 | 0.0143 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.4.1.post300
- Datasets 2.2.1
- Tokenizers 0.21.0
