---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: roberta-base-squad2-finetuned-emrqa-msquad
  results: []
datasets:
- Eladio/emrqa-msquad
language:
- en
metrics:
- f1
- recall
- precision
- exact_match
- 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. -->

# roberta-base-squad2-finetuned-emrqa-msquad

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on medical dataset [Eladio/emrqa-msquad](https://huggingface.co/datasets/Eladio/emrqa-msquad).
It achieves the following results on the evaluation set:
- Loss: 0.0305

## Model description

[deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1808        | 1.0   | 15878 | 0.1429          |
| 0.0832        | 2.0   | 31756 | 0.0536          |
| 0.0243        | 3.0   | 47634 | 0.0305          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2