transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:checkpoint_global_step_200000 autotrain_compatible endpoints_compatible region:us
---
base_model: checkpoint_global_step_200000
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fine-tuned-BioBART-20-epochs-wanglab-512-output
  results: []
---

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# fine-tuned-BioBART-20-epochs-wanglab-512-output

This model is a fine-tuned version of [checkpoint_global_step_200000](https://huggingface.co/checkpoint_global_step_200000) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5129
- Rouge1: 0.1378
- Rouge2: 0.0327
- Rougel: 0.1228
- Rougelsum: 0.1247
- Bertscore F1: 0.8584
- Bleurt Score: -1.101
- Gen Len: 15.43

## 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: 4
- eval_batch_size: 4
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bertscore F1 | Bleurt Score | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------------:|:------------:|:-------:|
| No log        | 1.0   | 301  | 1.8539          | 0.0606 | 0.001  | 0.0558 | 0.0559    | 0.7863       | -1.8703      | 9.32    |
| 5.1705        | 2.0   | 602  | 0.5409          | 0.1074 | 0.0308 | 0.092  | 0.0915    | 0.8311       | -1.6325      | 18.79   |
| 5.1705        | 3.0   | 903  | 0.4864          | 0.0636 | 0.0126 | 0.0587 | 0.0583    | 0.8346       | -1.2607      | 14.54   |
| 0.5346        | 4.0   | 1204 | 0.4678          | 0.0756 | 0.0159 | 0.0708 | 0.0699    | 0.8573       | -1.6843      | 9.58    |
| 0.4154        | 5.0   | 1505 | 0.4541          | 0.1071 | 0.0173 | 0.1    | 0.0995    | 0.8577       | -1.2599      | 13.88   |
| 0.4154        | 6.0   | 1806 | 0.4506          | 0.1012 | 0.0175 | 0.092  | 0.0919    | 0.859        | -1.3279      | 13.01   |
| 0.336         | 7.0   | 2107 | 0.4482          | 0.1314 | 0.0242 | 0.1186 | 0.1184    | 0.856        | -1.2649      | 16.51   |
| 0.336         | 8.0   | 2408 | 0.4509          | 0.1292 | 0.019  | 0.1097 | 0.109     | 0.8495       | -1.1181      | 14.43   |
| 0.2677        | 9.0   | 2709 | 0.4576          | 0.1013 | 0.0268 | 0.0895 | 0.0887    | 0.8491       | -1.1989      | 15.31   |
| 0.2183        | 10.0  | 3010 | 0.4697          | 0.1216 | 0.0263 | 0.11   | 0.1117    | 0.8562       | -1.1982      | 14.11   |
| 0.2183        | 11.0  | 3311 | 0.4720          | 0.1152 | 0.0289 | 0.1    | 0.0988    | 0.8528       | -1.1958      | 14.86   |
| 0.1617        | 12.0  | 3612 | 0.4765          | 0.1114 | 0.0274 | 0.0951 | 0.0947    | 0.8546       | -1.1548      | 15.64   |
| 0.1617        | 13.0  | 3913 | 0.4849          | 0.1135 | 0.0266 | 0.0922 | 0.0916    | 0.8556       | -1.1506      | 15.07   |
| 0.1208        | 14.0  | 4214 | 0.4893          | 0.1321 | 0.0368 | 0.1168 | 0.119     | 0.8568       | -1.11        | 15.42   |
| 0.0981        | 15.0  | 4515 | 0.4998          | 0.1339 | 0.0243 | 0.1122 | 0.1119    | 0.8549       | -1.1164      | 14.91   |
| 0.0981        | 16.0  | 4816 | 0.5008          | 0.1494 | 0.0338 | 0.1262 | 0.1266    | 0.8584       | -1.0695      | 15.47   |
| 0.0725        | 17.0  | 5117 | 0.5069          | 0.1403 | 0.0355 | 0.1161 | 0.1169    | 0.855        | -1.0642      | 15.93   |
| 0.0725        | 18.0  | 5418 | 0.5078          | 0.1449 | 0.0383 | 0.1265 | 0.1283    | 0.8576       | -1.0558      | 16.01   |
| 0.0622        | 19.0  | 5719 | 0.5113          | 0.1368 | 0.0338 | 0.1216 | 0.1235    | 0.8573       | -1.0761      | 15.51   |
| 0.0517        | 20.0  | 6020 | 0.5129          | 0.1378 | 0.0327 | 0.1228 | 0.1247    | 0.8584       | -1.101       | 15.43   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
