---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarizer_MediQA
  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. -->

# summarizer_MediQA

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9087
- Rouge1: 0.1757
- Rouge2: 0.0665
- Rougel: 0.1487
- Rougelsum: 0.1548

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 56   | 1.9335          | 0.1799 | 0.0713 | 0.1555 | 0.1613    |
| No log        | 2.0   | 112  | 1.9155          | 0.1727 | 0.0672 | 0.1489 | 0.1535    |
| No log        | 3.0   | 168  | 1.9087          | 0.1757 | 0.0665 | 0.1487 | 0.1548    |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cpu
- Datasets 2.9.0
- Tokenizers 0.13.2