QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_roberta-base_squad2
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0555
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0611 | 1.0 | 4874 | 0.0865 |
| 0.0528 | 2.0 | 9748 | 0.0644 |
| 0.0729 | 3.0 | 14622 | 0.0914 |
| 0.0213 | 4.0 | 19496 | 0.0921 |
| 0.037 | 5.0 | 24370 | 0.0560 |
| 0.0186 | 6.0 | 29244 | 0.0506 |
| 0.0165 | 7.0 | 34118 | 0.0562 |
| 0.0069 | 8.0 | 38992 | 0.0454 |
| 0.0003 | 9.0 | 43866 | 0.0522 |
| 0.0 | 10.0 | 48740 | 0.0555 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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