Legal_GQA_BERT7
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| No log | 1.0 | 5 | 3.9923 |
| No log | 2.0 | 10 | 3.5716 |
| No log | 3.0 | 15 | 3.4393 |
| No log | 4.0 | 20 | 3.4841 |
| No log | 5.0 | 25 | 3.5053 |
| No log | 6.0 | 30 | 3.6398 |
| No log | 7.0 | 35 | 3.9208 |
| No log | 8.0 | 40 | 4.0914 |
| No log | 9.0 | 45 | 4.2757 |
| No log | 10.0 | 50 | 4.3265 |
| No log | 11.0 | 55 | 4.4341 |
| No log | 12.0 | 60 | 4.6095 |
| No log | 13.0 | 65 | 4.7127 |
| No log | 14.0 | 70 | 4.7583 |
| No log | 15.0 | 75 | 4.7729 |
| No log | 16.0 | 80 | 4.7785 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
