recipe-distilbert-tis
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9886
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8792 | 1.0 | 1038 | 1.4680 |
| 1.4691 | 2.0 | 2076 | 1.3122 |
| 1.3471 | 3.0 | 3114 | 1.2343 |
| 1.2798 | 4.0 | 4152 | 1.1829 |
| 1.2284 | 5.0 | 5190 | 1.1437 |
| 1.1956 | 6.0 | 6228 | 1.1120 |
| 1.1683 | 7.0 | 7266 | 1.0905 |
| 1.1458 | 8.0 | 8304 | 1.0731 |
| 1.126 | 9.0 | 9342 | 1.0645 |
| 1.113 | 10.0 | 10380 | 1.0471 |
| 1.0962 | 11.0 | 11418 | 1.0348 |
| 1.0864 | 12.0 | 12456 | 1.0256 |
| 1.0772 | 13.0 | 13494 | 1.0173 |
| 1.0692 | 14.0 | 14532 | 1.0130 |
| 1.0622 | 15.0 | 15570 | 1.0111 |
| 1.0577 | 16.0 | 16608 | 1.0021 |
| 1.0537 | 17.0 | 17646 | 1.0001 |
| 1.0474 | 18.0 | 18684 | 0.9928 |
| 1.0471 | 19.0 | 19722 | 0.9908 |
| 1.0458 | 20.0 | 20760 | 0.9886 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
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