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roberta-base-EnglishLawAI_roberta_base_version4
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8089
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3575 | 1.0 | 23702 | 2.1592 |
| 2.2419 | 2.0 | 47404 | 2.1005 |
| 2.1663 | 3.0 | 71106 | 2.0487 |
| 2.1013 | 4.0 | 94808 | 2.0135 |
| 2.0497 | 5.0 | 118510 | 1.9840 |
| 1.9968 | 6.0 | 142212 | 1.9398 |
| 1.9507 | 7.0 | 165914 | 1.9163 |
| 1.9076 | 8.0 | 189616 | 1.8893 |
| 1.8662 | 9.0 | 213318 | 1.8604 |
| 1.8264 | 10.0 | 237020 | 1.8416 |
| 1.7927 | 11.0 | 260722 | 1.8134 |
| 1.7641 | 12.0 | 284424 | 1.8089 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
