Legal_GQA_BERT_augmented_17
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: 17
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| No log | 1.0 | 15 | 2.7689 |
| No log | 2.0 | 30 | 2.8738 |
| No log | 3.0 | 45 | 2.4922 |
| No log | 4.0 | 60 | 2.6766 |
| No log | 5.0 | 75 | 2.8174 |
| No log | 6.0 | 90 | 2.9027 |
| No log | 7.0 | 105 | 2.8046 |
| No log | 8.0 | 120 | 3.1146 |
| No log | 9.0 | 135 | 3.2279 |
| No log | 10.0 | 150 | 3.3864 |
| No log | 11.0 | 165 | 3.3745 |
| No log | 12.0 | 180 | 3.7415 |
| No log | 13.0 | 195 | 3.6057 |
| No log | 14.0 | 210 | 3.6076 |
| No log | 15.0 | 225 | 3.7815 |
| No log | 16.0 | 240 | 3.6825 |
| No log | 17.0 | 255 | 3.7231 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
