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---
license: cc-by-4.0
base_model: deepset/tinyroberta-squad2
tags:
- generated_from_trainer
model-index:
- name: tinyroberta-squad2-finetuned-emrqa-msquad
results: []
datasets:
- Eladio/emrqa-msquad
language:
- en
metrics:
- exact_match
- f1
- precision
- recall
- bleu
- rouge
pipeline_tag: question-answering
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tinyroberta-squad2-finetuned-emrqa-msquad
This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on medical dataset [Eladio/emrqa-msquad](https://huggingface.co/datasets/Eladio/emrqa-msquad).
It achieves the following results on the evaluation set:
- Loss: 0.0435
## Model description
[deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on medical dataset [Eladio/emrqa-msquad](https://huggingface.co/datasets/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 |