distilbert-base-uncased-finetuned-squad-finetuned-squad_adversarial
This model is a fine-tuned version of stevemobs/distilbert-base-uncased-finetuned-squad on the adversarial_qa dataset. It achieves the following results on the evaluation set:
- Loss: 2.3121
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 |
|---|---|---|---|
| 2.6352 | 1.0 | 1896 | 2.2623 |
| 2.1121 | 2.0 | 3792 | 2.2465 |
| 1.7932 | 3.0 | 5688 | 2.3121 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
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