---
license: apache-2.0
base_model: GanjinZero/biobart-v2-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: BioBart_on_pubmed
  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. -->

# BioBart_on_pubmed

This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3101
- Rouge1: 0.0659
- Rouge2: 0.0
- Rougel: 0.044
- Rougelsum: 0.0659
- Gen Len: 20.0

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 4    | 4.4216          | 0.0659 | 0.0    | 0.044  | 0.0659    | 20.0    |
| No log        | 2.0   | 8    | 3.4773          | 0.0659 | 0.0    | 0.044  | 0.0659    | 20.0    |
| No log        | 3.0   | 12   | 3.3401          | 0.0659 | 0.0    | 0.044  | 0.0659    | 20.0    |
| No log        | 4.0   | 16   | 3.3101          | 0.0659 | 0.0    | 0.044  | 0.0659    | 20.0    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3