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recipe-distilbert-s
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: 1.0321
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 |
|---|---|---|---|
| 1.8594 | 1.0 | 844 | 1.4751 |
| 1.4763 | 2.0 | 1688 | 1.3282 |
| 1.3664 | 3.0 | 2532 | 1.2553 |
| 1.2975 | 4.0 | 3376 | 1.2093 |
| 1.2543 | 5.0 | 4220 | 1.1667 |
| 1.2189 | 6.0 | 5064 | 1.1472 |
| 1.1944 | 7.0 | 5908 | 1.1251 |
| 1.1737 | 8.0 | 6752 | 1.1018 |
| 1.1549 | 9.0 | 7596 | 1.0950 |
| 1.1387 | 10.0 | 8440 | 1.0796 |
| 1.1295 | 11.0 | 9284 | 1.0713 |
| 1.1166 | 12.0 | 10128 | 1.0639 |
| 1.1078 | 13.0 | 10972 | 1.0485 |
| 1.099 | 14.0 | 11816 | 1.0431 |
| 1.0951 | 15.0 | 12660 | 1.0425 |
| 1.0874 | 16.0 | 13504 | 1.0323 |
| 1.0828 | 17.0 | 14348 | 1.0368 |
| 1.0802 | 18.0 | 15192 | 1.0339 |
| 1.0798 | 19.0 | 16036 | 1.0247 |
| 1.0758 | 20.0 | 16880 | 1.0321 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
