File size: 1,900 Bytes
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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 |