---
license: apache-2.0
datasets:
- MEDIQA-Chat-2023-taskA
metrics:
- rouge
model-index:
- name: BioBart_Large_Dialouge_Summarization_taskA
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: MEDIQA-Chat-2023-taskA
      type: MEDIQA-Chat-2023-taskA
      config: MEDIQA-Chat-2023-taskA
      split: train
      args: MEDIQA-Chat-2023-taskA
    metrics:
    - name: Rouge1
      type: rouge
      value: 28.7953
---




# BioBart_Large_Dialouge_Summarization_taskA

This model is a fine-tuned version of [GanjinZero/biobart-large](https://https://huggingface.co/GanjinZero/biobart-large) on the [Task A-Short Dialogue2Note Summarization dataset](https://github.com/abachaa/MEDIQA-Chat-2023)

It achieves the following results on the evaluation set:
- Loss: 2.7487
- Rouge1: 28.7953
- Rouge2: 13.7224
- Rougel: 27.8491
- Rougelsum: 28.6028
- Gen Len: 19.34

## 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log	    | 1.0   | 1842 | 2.739522        | 29.7742 | 15.4000 | 29.0754 | 29.706200 | 19.5600 |
| No log	    | 2.0   | 3684 | 2.705775	     | 28.6469 | 13.7595 | 27.7582 | 28.486700 | 19.3700 |
| No log	    | 3.0   | 5526 | 2.748785	     | 28.7953 | 13.7224 | 27.8491 | 28.602800 | 19.3400 |



### Framework versions

- Transformers 4.26.1
- datasets 2.10.1
- tokenizers 0.13.2