deberta-base-finetuned-aqa-newsqa
This model is a fine-tuned version of stevemobs/deberta-base-finetuned-aqa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7657
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 |
|---|---|---|---|
| 0.6883 | 1.0 | 17307 | 0.7325 |
| 0.4807 | 2.0 | 34614 | 0.7657 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1