llama2-finetuned-squad
This model was trained from scratch on the squad 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 1.4105 | 0.96 | 18 | 1.2821 |
| 1.7789 | 1.92 | 36 | 1.2163 |
| 1.7876 | 2.88 | 54 | 1.1932 |
| 1.6394 | 3.84 | 72 | 1.1824 |
| 1.2972 | 4.8 | 90 | 1.1801 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
