---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-sub-01
  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-01

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: 0.2198

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5498        | 0.21  | 500  | 0.4620          |
| 0.4403        | 0.43  | 1000 | 0.3597          |
| 0.3556        | 0.64  | 1500 | 0.3199          |
| 0.3367        | 0.86  | 2000 | 0.2803          |
| 0.2754        | 1.07  | 2500 | 0.2695          |
| 0.268         | 1.28  | 3000 | 0.2568          |
| 0.2449        | 1.5   | 3500 | 0.2485          |
| 0.2271        | 1.71  | 4000 | 0.2398          |
| 0.2238        | 1.93  | 4500 | 0.2337          |
| 0.1857        | 2.14  | 5000 | 0.2310          |
| 0.1802        | 2.35  | 5500 | 0.2273          |
| 0.1798        | 2.57  | 6000 | 0.2219          |
| 0.1905        | 2.78  | 6500 | 0.2205          |
| 0.1925        | 3.0   | 7000 | 0.2198          |


### Framework versions

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