distilbert-id-law
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8912
Model description
More information needed
Intended uses & limitations
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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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2874 | 1.0 | 6262 | 2.1654 |
| 2.0961 | 2.0 | 12524 | 2.0036 |
| 2.0255 | 3.0 | 18786 | 1.9364 |
| 1.9767 | 4.0 | 25048 | 1.9011 |
| 1.9579 | 5.0 | 31310 | 1.8912 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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