roberta-base-squad2-distilled-small-cuad-1
This model is a fine-tuned version of distilroberta-base on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0174
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3727 | 1.0 | 1125 | 1.1065 |
| 1.0129 | 2.0 | 2250 | 1.0079 |
| 0.7974 | 3.0 | 3375 | 1.0174 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3