roberta-base_mod
This model is a fine-tuned version of roberta-base on the quoref dataset. It achieves the following results on the evaluation set:
- Loss: 1.5400
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: 3e-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 |
|---|---|---|---|
| 1.6272 | 1.0 | 1213 | 1.4654 |
| 1.0583 | 2.0 | 2426 | 1.4134 |
| 0.6854 | 3.0 | 3639 | 1.5400 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3