bloom-560m-finetuned-cdn_law-finetuned-cdn_law_6epochs
This model is a fine-tuned version of simonosgoode/bloom-560m-finetuned-cdn_law on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3047
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: 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6631 | 1.0 | 8298 | 2.0524 |
| 1.4265 | 2.0 | 16596 | 2.1195 |
| 1.1903 | 3.0 | 24894 | 2.3047 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.11.0
- Datasets 2.6.0
- Tokenizers 0.13.1
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