---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-sub-10
  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-10

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: 0.2710

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6402        | 0.11  | 500  | 0.5464          |
| 0.4619        | 0.21  | 1000 | 0.4243          |
| 0.4382        | 0.32  | 1500 | 0.3816          |
| 0.4494        | 0.43  | 2000 | 0.3462          |
| 0.3769        | 0.54  | 2500 | 0.3194          |
| 0.2977        | 0.64  | 3000 | 0.3001          |
| 0.3153        | 0.75  | 3500 | 0.2839          |
| 0.3249        | 0.86  | 4000 | 0.2744          |
| 0.3362        | 0.96  | 4500 | 0.2710          |


### Framework versions

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