---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-sub-02
  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. -->

# pubmed-abs-sub-02

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1162

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2641        | 0.11  | 500   | 0.2493          |
| 0.2369        | 0.21  | 1000  | 0.1986          |
| 0.2348        | 0.32  | 1500  | 0.1810          |
| 0.2239        | 0.43  | 2000  | 0.1732          |
| 0.1745        | 0.54  | 2500  | 0.1643          |
| 0.1664        | 0.64  | 3000  | 0.1493          |
| 0.1701        | 0.75  | 3500  | 0.1446          |
| 0.2041        | 0.86  | 4000  | 0.1375          |
| 0.1541        | 0.96  | 4500  | 0.1347          |
| 0.1168        | 1.07  | 5000  | 0.1398          |
| 0.1174        | 1.18  | 5500  | 0.1339          |
| 0.1108        | 1.28  | 6000  | 0.1345          |
| 0.1163        | 1.39  | 6500  | 0.1292          |
| 0.1292        | 1.5   | 7000  | 0.1268          |
| 0.0999        | 1.61  | 7500  | 0.1270          |
| 0.1023        | 1.71  | 8000  | 0.1225          |
| 0.123         | 1.82  | 8500  | 0.1208          |
| 0.1105        | 1.93  | 9000  | 0.1182          |
| 0.0938        | 2.03  | 9500  | 0.1212          |
| 0.0995        | 2.14  | 10000 | 0.1215          |
| 0.075         | 2.25  | 10500 | 0.1223          |
| 0.0746        | 2.35  | 11000 | 0.1201          |
| 0.0816        | 2.46  | 11500 | 0.1187          |
| 0.0819        | 2.57  | 12000 | 0.1170          |
| 0.0876        | 2.68  | 12500 | 0.1164          |
| 0.0628        | 2.78  | 13000 | 0.1168          |
| 0.0695        | 2.89  | 13500 | 0.1166          |
| 0.0835        | 3.0   | 14000 | 0.1162          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1