---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_health_qa_model_35
  results: []
---

<!-- 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. -->

# my_awesome_health_qa_model_35

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6853

## 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: 1e-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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0951        | 1.0   | 684  | 0.9796          |
| 0.9192        | 2.0   | 1368 | 0.9770          |
| 0.6985        | 3.0   | 2052 | 1.0302          |
| 0.6022        | 4.0   | 2736 | 1.0688          |
| 0.5343        | 5.0   | 3420 | 1.2046          |
| 0.4185        | 6.0   | 4104 | 1.2701          |
| 0.362         | 7.0   | 4788 | 1.3791          |
| 0.3206        | 8.0   | 5472 | 1.4673          |
| 0.2622        | 9.0   | 6156 | 1.5769          |
| 0.2543        | 10.0  | 6840 | 1.6076          |
| 0.2142        | 11.0  | 7524 | 1.6842          |
| 0.2051        | 12.0  | 8208 | 1.6853          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1