AdQuest-when-how-many
This model is a fine-tuned version of nidhinthomas/electra-small-squad-finetuned-synQA on the squad_adversarial dataset. It achieves the following results on the evaluation set:
- Loss: 2.5231
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 |
|---|---|---|---|
| 1.0179 | 1.0 | 3320 | 2.2782 |
| 0.9379 | 2.0 | 6640 | 2.3738 |
| 0.8668 | 3.0 | 9960 | 2.5231 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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