distilbert-base-uncased-finetuned-squad2
This model is a fine-tuned version of distilbert-base-uncased on squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4150
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 OptimizerNames.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 |
|---|---|---|---|
| 1.201 | 1.0 | 8235 | 1.2481 |
| 0.9086 | 2.0 | 16470 | 1.2382 |
| 0.7506 | 3.0 | 24705 | 1.4150 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.7.0+gitf717b2a
- Datasets 3.6.0
- Tokenizers 0.21.4