bert-base-uncased-finetuned-squad-v2
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2398
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0493 | 1.0 | 8235 | 1.0716 |
| 0.7569 | 2.0 | 16470 | 1.1140 |
| 0.5553 | 3.0 | 24705 | 1.2398 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0+cu118
- Datasets 3.2.0
- Tokenizers 0.20.3