---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-ins-con-04
  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-ins-con-04

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: 0.0614

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1838        | 0.11  | 500   | 0.1188          |
| 0.1451        | 0.21  | 1000  | 0.1138          |
| 0.1363        | 0.32  | 1500  | 0.0935          |
| 0.2084        | 0.43  | 2000  | 0.0868          |
| 0.1054        | 0.54  | 2500  | 0.0866          |
| 0.1228        | 0.64  | 3000  | 0.0789          |
| 0.0911        | 0.75  | 3500  | 0.0771          |
| 0.1134        | 0.86  | 4000  | 0.0733          |
| 0.0853        | 0.96  | 4500  | 0.0727          |
| 0.0822        | 1.07  | 5000  | 0.0734          |
| 0.0699        | 1.18  | 5500  | 0.0716          |
| 0.0767        | 1.28  | 6000  | 0.0741          |
| 0.0675        | 1.39  | 6500  | 0.0713          |
| 0.0724        | 1.5   | 7000  | 0.0693          |
| 0.0643        | 1.61  | 7500  | 0.0674          |
| 0.0614        | 1.71  | 8000  | 0.0668          |
| 0.1225        | 1.82  | 8500  | 0.0633          |
| 0.0704        | 1.93  | 9000  | 0.0623          |
| 0.055         | 2.03  | 9500  | 0.0660          |
| 0.0567        | 2.14  | 10000 | 0.0633          |
| 0.052         | 2.25  | 10500 | 0.0658          |
| 0.0459        | 2.35  | 11000 | 0.0644          |
| 0.0572        | 2.46  | 11500 | 0.0628          |
| 0.0604        | 2.57  | 12000 | 0.0615          |
| 0.0516        | 2.68  | 12500 | 0.0611          |
| 0.0424        | 2.78  | 13000 | 0.0616          |
| 0.0385        | 2.89  | 13500 | 0.0615          |
| 0.0448        | 3.0   | 14000 | 0.0614          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.7
- Tokenizers 0.14.1