transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:GanjinZero/biobart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: GanjinZero/biobart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fine-tuned-BioBART-5-epochs-1500-input-256-output
  results: []
---

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# fine-tuned-BioBART-5-epochs-1500-input-256-output

This model is a fine-tuned version of [GanjinZero/biobart-base](https://huggingface.co/GanjinZero/biobart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9334
- Rouge1: 0.1033
- Rouge2: 0.0329
- Rougel: 0.0852
- Rougelsum: 0.0855
- Gen Len: 26.37

## 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: 0.0001
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 151  | 1.3238          | 0.0708 | 0.0184 | 0.0658 | 0.065     | 12.37   |
| No log        | 2.0   | 302  | 1.0363          | 0.1129 | 0.0331 | 0.0944 | 0.0938    | 29.38   |
| No log        | 3.0   | 453  | 0.9690          | 0.0999 | 0.024  | 0.0813 | 0.082     | 18.88   |
| 2.6167        | 4.0   | 604  | 0.9406          | 0.1079 | 0.0327 | 0.0869 | 0.0871    | 27.93   |
| 2.6167        | 5.0   | 755  | 0.9334          | 0.1033 | 0.0329 | 0.0852 | 0.0855    | 26.37   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.12.1+cu113
- Datasets 2.16.1
- Tokenizers 0.15.0
