---
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: 0.1963

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4453        | 0.21  | 500  | 0.3989          |
| 0.3803        | 0.43  | 1000 | 0.3145          |
| 0.3093        | 0.64  | 1500 | 0.2789          |
| 0.3014        | 0.86  | 2000 | 0.2489          |
| 0.251         | 1.07  | 2500 | 0.2404          |
| 0.2304        | 1.28  | 3000 | 0.2312          |
| 0.2248        | 1.5   | 3500 | 0.2185          |
| 0.1944        | 1.71  | 4000 | 0.2134          |
| 0.1961        | 1.93  | 4500 | 0.2066          |
| 0.17          | 2.14  | 5000 | 0.2062          |
| 0.1606        | 2.35  | 5500 | 0.2021          |
| 0.1678        | 2.57  | 6000 | 0.1987          |
| 0.1535        | 2.78  | 6500 | 0.1978          |
| 0.1714        | 3.0   | 7000 | 0.1963          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3