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clean_mixed_drm
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0801
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3853 | 1.0 | 5797 | 0.1670 |
| 0.154 | 2.0 | 11594 | 0.1157 |
| 0.1123 | 3.0 | 17391 | 0.0980 |
| 0.0941 | 4.0 | 23188 | 0.0900 |
| 0.0858 | 5.0 | 28985 | 0.0855 |
| 0.0796 | 6.0 | 34782 | 0.0837 |
| 0.0722 | 7.0 | 40579 | 0.0824 |
| 0.0695 | 8.0 | 46376 | 0.0811 |
| 0.0668 | 9.0 | 52173 | 0.0802 |
| 0.0651 | 10.0 | 57970 | 0.0798 |
| 0.0629 | 11.0 | 63767 | 0.0801 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
