distilbert-base-uncased-finetuned-squad-vervio-finetuned-team2
This model is a fine-tuned version of choz/distilbert-base-uncased-finetuned-squad on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3845
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9166 | 1.0 | 8235 | 1.2542 |
| 0.6791 | 2.0 | 16470 | 1.3845 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3