tinyroberta-squad2-finetuned-emrqa-msquad
This model is a fine-tuned version of deepset/tinyroberta-squad2 on medical dataset Eladio/emrqa-msquad. It achieves the following results on the evaluation set:
- Loss: 0.0435
Model description
deepset/tinyroberta-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 |
---|---|---|---|
0.2736 | 1.0 | 15878 | 0.1806 |
0.1034 | 2.0 | 31756 | 0.0803 |
0.0475 | 3.0 | 47634 | 0.0435 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 25
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Eladio/tinyroberta-squad2-finetuned-emrqa-msquad
Base model
deepset/tinyroberta-squad2
Finetuned
this model