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: 3.2222
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 0.725 | 1.0 | 677 | 2.7673 |
| 0.4414 | 2.0 | 1354 | 2.1589 |
| 0.3715 | 3.0 | 2031 | 2.2147 |
| 0.3109 | 4.0 | 2708 | 3.2084 |
| 0.2819 | 5.0 | 3385 | 3.0344 |
| 0.2256 | 6.0 | 4062 | 2.7600 |
| 0.1817 | 7.0 | 4739 | 3.2809 |
| 0.1815 | 8.0 | 5416 | 3.1657 |
| 0.1357 | 9.0 | 6093 | 3.1151 |
| 0.1443 | 10.0 | 6770 | 3.2222 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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