deberta-base-finetuned-squad1-aqa-newsqa
This model is a fine-tuned version of stevemobs/deberta-base-finetuned-squad1-aqa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7525
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: 12
- eval_batch_size: 12
- 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 |
|---|---|---|---|
| 0.659 | 1.0 | 17307 | 0.7169 |
| 0.4718 | 2.0 | 34614 | 0.7525 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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