---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-sub-05
  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-05

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: 0.1618

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4682        | 0.11  | 500   | 0.3839          |
| 0.3647        | 0.21  | 1000  | 0.3068          |
| 0.3853        | 0.32  | 1500  | 0.2709          |
| 0.3194        | 0.43  | 2000  | 0.2515          |
| 0.2892        | 0.54  | 2500  | 0.2369          |
| 0.2493        | 0.64  | 3000  | 0.2202          |
| 0.252         | 0.75  | 3500  | 0.2132          |
| 0.2467        | 0.86  | 4000  | 0.1982          |
| 0.2539        | 0.96  | 4500  | 0.1948          |
| 0.1639        | 1.07  | 5000  | 0.1917          |
| 0.1732        | 1.18  | 5500  | 0.1889          |
| 0.1593        | 1.28  | 6000  | 0.1932          |
| 0.1884        | 1.39  | 6500  | 0.1803          |
| 0.1889        | 1.5   | 7000  | 0.1804          |
| 0.1638        | 1.61  | 7500  | 0.1787          |
| 0.1295        | 1.71  | 8000  | 0.1754          |
| 0.2087        | 1.82  | 8500  | 0.1692          |
| 0.147         | 1.93  | 9000  | 0.1700          |
| 0.1269        | 2.03  | 9500  | 0.1725          |
| 0.1214        | 2.14  | 10000 | 0.1693          |
| 0.1124        | 2.25  | 10500 | 0.1717          |
| 0.1169        | 2.35  | 11000 | 0.1654          |
| 0.1136        | 2.46  | 11500 | 0.1658          |
| 0.1217        | 2.57  | 12000 | 0.1630          |
| 0.1287        | 2.68  | 12500 | 0.1631          |
| 0.0997        | 2.78  | 13000 | 0.1622          |
| 0.1094        | 2.89  | 13500 | 0.1623          |
| 0.1051        | 3.0   | 14000 | 0.1618          |


### Framework versions

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