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-12-epochs-1024-input-128-output
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fine-tuned-BioBART-12-epochs-1024-input-128-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: 1.5051
- Rouge1: 0.1576
- Rouge2: 0.0366
- Rougel: 0.108
- Rougelsum: 0.1085
- Gen Len: 34.29

## 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 151  | 4.4833          | 0.0206 | 0.0051 | 0.0196 | 0.02      | 7.18    |
| No log        | 2.0   | 302  | 1.8298          | 0.1027 | 0.0249 | 0.0865 | 0.0866    | 26.29   |
| No log        | 3.0   | 453  | 1.6450          | 0.0738 | 0.0169 | 0.0564 | 0.0568    | 20.31   |
| 3.8819        | 4.0   | 604  | 1.5676          | 0.1469 | 0.0336 | 0.1162 | 0.1163    | 33.72   |
| 3.8819        | 5.0   | 755  | 1.5271          | 0.1739 | 0.0342 | 0.1442 | 0.1441    | 29.99   |
| 3.8819        | 6.0   | 906  | 1.5005          | 0.1616 | 0.0337 | 0.1275 | 0.1286    | 36.78   |
| 1.1888        | 7.0   | 1057 | 1.4912          | 0.1618 | 0.0417 | 0.121  | 0.1212    | 41.89   |
| 1.1888        | 8.0   | 1208 | 1.4854          | 0.1293 | 0.0396 | 0.0905 | 0.0911    | 36.59   |
| 1.1888        | 9.0   | 1359 | 1.4949          | 0.1451 | 0.0337 | 0.1153 | 0.1158    | 27.18   |
| 0.8646        | 10.0  | 1510 | 1.4936          | 0.1743 | 0.0355 | 0.1292 | 0.1301    | 34.24   |
| 0.8646        | 11.0  | 1661 | 1.5060          | 0.1639 | 0.0367 | 0.1233 | 0.124     | 30.56   |
| 0.8646        | 12.0  | 1812 | 1.5051          | 0.1576 | 0.0366 | 0.108  | 0.1085    | 34.29   |


### Framework versions

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