bert-base-cased-squad2-finetuned-squad
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.9269
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 |
|---|---|---|---|
| 0.5591 | 1.0 | 8255 | 1.3180 |
| 0.3712 | 2.0 | 16510 | 1.5934 |
| 0.2472 | 3.0 | 24765 | 1.9269 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2