transformer-NLP
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4503
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.8223 | 1.0 | 21 | 9.4635 |
| 9.4003 | 2.0 | 42 | 9.2399 |
| 9.1754 | 3.0 | 63 | 9.0618 |
| 8.9665 | 4.0 | 84 | 8.8478 |
| 8.8297 | 5.0 | 105 | 8.7369 |
| 8.6993 | 6.0 | 126 | 8.6474 |
| 8.6372 | 7.0 | 147 | 8.5848 |
| 8.5375 | 8.0 | 168 | 8.4988 |
| 8.5175 | 9.0 | 189 | 8.4400 |
| 8.4955 | 10.0 | 210 | 8.4503 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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