---
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: 0.2157

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6234        | 0.11  | 500   | 0.5441          |
| 0.4953        | 0.21  | 1000  | 0.4205          |
| 0.4357        | 0.32  | 1500  | 0.3782          |
| 0.4194        | 0.43  | 2000  | 0.3422          |
| 0.364         | 0.54  | 2500  | 0.3211          |
| 0.3064        | 0.64  | 3000  | 0.2959          |
| 0.3169        | 0.75  | 3500  | 0.2859          |
| 0.3169        | 0.86  | 4000  | 0.2703          |
| 0.3033        | 0.96  | 4500  | 0.2622          |
| 0.2401        | 1.07  | 5000  | 0.2635          |
| 0.2253        | 1.18  | 5500  | 0.2564          |
| 0.2214        | 1.28  | 6000  | 0.2571          |
| 0.2315        | 1.39  | 6500  | 0.2424          |
| 0.2524        | 1.5   | 7000  | 0.2386          |
| 0.2257        | 1.61  | 7500  | 0.2374          |
| 0.1949        | 1.71  | 8000  | 0.2344          |
| 0.2344        | 1.82  | 8500  | 0.2286          |
| 0.1896        | 1.93  | 9000  | 0.2265          |
| 0.1722        | 2.03  | 9500  | 0.2266          |
| 0.1697        | 2.14  | 10000 | 0.2293          |
| 0.1558        | 2.25  | 10500 | 0.2265          |
| 0.154         | 2.35  | 11000 | 0.2231          |
| 0.1476        | 2.46  | 11500 | 0.2205          |
| 0.1715        | 2.57  | 12000 | 0.2190          |
| 0.1735        | 2.68  | 12500 | 0.2175          |
| 0.1319        | 2.78  | 13000 | 0.2170          |
| 0.1556        | 2.89  | 13500 | 0.2163          |
| 0.1573        | 3.0   | 14000 | 0.2157          |


### Framework versions

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