---
license: apache-2.0
base_model: GanjinZero/biobart-v2-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fine-tuned-BioBART-10-epochs
  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. -->

# fine-tuned-BioBART-10-epochs

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: 0.7099
- Rouge1: 0.2929
- Rouge2: 0.1172
- Rougel: 0.2685
- Rougelsum: 0.2674
- Gen Len: 14.66

## 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
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 151  | 0.7536          | 0.204  | 0.0789 | 0.1879 | 0.1874    | 13.31   |
| No log        | 2.0   | 302  | 0.7161          | 0.2576 | 0.0833 | 0.2281 | 0.227     | 13.88   |
| No log        | 3.0   | 453  | 0.7013          | 0.2314 | 0.082  | 0.2052 | 0.2053    | 14.57   |
| 0.7283        | 4.0   | 604  | 0.6976          | 0.2835 | 0.1092 | 0.2574 | 0.2572    | 14.34   |
| 0.7283        | 5.0   | 755  | 0.7012          | 0.2761 | 0.0916 | 0.252  | 0.2525    | 14.35   |
| 0.7283        | 6.0   | 906  | 0.6963          | 0.2959 | 0.108  | 0.2692 | 0.2692    | 14.97   |
| 0.5246        | 7.0   | 1057 | 0.7043          | 0.2848 | 0.1074 | 0.2558 | 0.2563    | 14.68   |
| 0.5246        | 8.0   | 1208 | 0.7043          | 0.2945 | 0.1168 | 0.271  | 0.2701    | 14.16   |
| 0.5246        | 9.0   | 1359 | 0.7080          | 0.2875 | 0.1097 | 0.2604 | 0.2598    | 14.69   |
| 0.4414        | 10.0  | 1510 | 0.7099          | 0.2929 | 0.1172 | 0.2685 | 0.2674    | 14.66   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0