---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-sub-03
  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-03

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: 0.1905

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.53          | 0.11  | 500   | 0.4647          |
| 0.4464        | 0.21  | 1000  | 0.3745          |
| 0.4506        | 0.32  | 1500  | 0.3262          |
| 0.3944        | 0.43  | 2000  | 0.3019          |
| 0.3538        | 0.54  | 2500  | 0.2816          |
| 0.2626        | 0.64  | 3000  | 0.2692          |
| 0.2607        | 0.75  | 3500  | 0.2540          |
| 0.2967        | 0.86  | 4000  | 0.2357          |
| 0.2716        | 0.96  | 4500  | 0.2334          |
| 0.2065        | 1.07  | 5000  | 0.2286          |
| 0.19          | 1.18  | 5500  | 0.2271          |
| 0.1976        | 1.28  | 6000  | 0.2247          |
| 0.2223        | 1.39  | 6500  | 0.2164          |
| 0.2229        | 1.5   | 7000  | 0.2123          |
| 0.2018        | 1.61  | 7500  | 0.2106          |
| 0.1857        | 1.71  | 8000  | 0.2037          |
| 0.22          | 1.82  | 8500  | 0.2033          |
| 0.1793        | 1.93  | 9000  | 0.1993          |
| 0.1441        | 2.03  | 9500  | 0.2012          |
| 0.1515        | 2.14  | 10000 | 0.2011          |
| 0.1412        | 2.25  | 10500 | 0.2023          |
| 0.1505        | 2.35  | 11000 | 0.1978          |
| 0.1472        | 2.46  | 11500 | 0.1961          |
| 0.1526        | 2.57  | 12000 | 0.1916          |
| 0.1454        | 2.68  | 12500 | 0.1919          |
| 0.1011        | 2.78  | 13000 | 0.1920          |
| 0.1386        | 2.89  | 13500 | 0.1915          |
| 0.1368        | 3.0   | 14000 | 0.1905          |


### Framework versions

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