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bert-base-cased-squad2-coffee20230113
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3859
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 88 | 2.0785 |
| 2.2589 | 2.0 | 176 | 1.9542 |
| 1.4038 | 3.0 | 264 | 1.7714 |
| 0.9533 | 4.0 | 352 | 2.2673 |
| 0.5394 | 5.0 | 440 | 2.5496 |
| 0.4353 | 6.0 | 528 | 3.2302 |
| 0.4201 | 7.0 | 616 | 3.7247 |
| 0.2477 | 8.0 | 704 | 3.4248 |
| 0.2477 | 9.0 | 792 | 3.8344 |
| 0.1633 | 10.0 | 880 | 4.1582 |
| 0.0979 | 11.0 | 968 | 3.8764 |
| 0.0621 | 12.0 | 1056 | 4.1686 |
| 0.0242 | 13.0 | 1144 | 4.2762 |
| 0.0091 | 14.0 | 1232 | 4.4176 |
| 0.0061 | 15.0 | 1320 | 4.3859 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2
