bert-base-cased-squad2-finetuned-squad
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on medical dataset Eladio/emrqa-msquad. It achieves the following results on the evaluation set:
- Loss: 0.0217
Model description
deepset/bert-base-cased-squad2 on medical dataset Eladio/emrqa-msquad
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 |
|---|---|---|---|
| 0.1755 | 1.0 | 17354 | 0.1014 |
| 0.0599 | 2.0 | 34708 | 0.0344 |
| 0.0278 | 3.0 | 52062 | 0.0217 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for Eladio/bert-base-cased-squad2-finetuned-emrqa-msquad
Base model
deepset/bert-base-cased-squad2