---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-noise-02
  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-noise-02

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: 0.3305

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5324        | 0.11  | 500   | 0.4918          |
| 0.4891        | 0.21  | 1000  | 0.4361          |
| 0.4725        | 0.32  | 1500  | 0.4166          |
| 0.5121        | 0.43  | 2000  | 0.4054          |
| 0.4325        | 0.54  | 2500  | 0.3945          |
| 0.4185        | 0.64  | 3000  | 0.3897          |
| 0.4125        | 0.75  | 3500  | 0.3782          |
| 0.3891        | 0.86  | 4000  | 0.3704          |
| 0.3846        | 0.96  | 4500  | 0.3627          |
| 0.3211        | 1.07  | 5000  | 0.3664          |
| 0.3084        | 1.18  | 5500  | 0.3548          |
| 0.3552        | 1.28  | 6000  | 0.3543          |
| 0.3409        | 1.39  | 6500  | 0.3513          |
| 0.3258        | 1.5   | 7000  | 0.3520          |
| 0.3635        | 1.61  | 7500  | 0.3515          |
| 0.2881        | 1.71  | 8000  | 0.3420          |
| 0.3454        | 1.82  | 8500  | 0.3428          |
| 0.3194        | 1.93  | 9000  | 0.3391          |
| 0.3092        | 2.03  | 9500  | 0.3426          |
| 0.2572        | 2.14  | 10000 | 0.3448          |
| 0.2803        | 2.25  | 10500 | 0.3403          |
| 0.2375        | 2.35  | 11000 | 0.3367          |
| 0.2657        | 2.46  | 11500 | 0.3361          |
| 0.2782        | 2.57  | 12000 | 0.3325          |
| 0.2713        | 2.68  | 12500 | 0.3308          |
| 0.2386        | 2.78  | 13000 | 0.3317          |
| 0.2428        | 2.89  | 13500 | 0.3318          |
| 0.2702        | 3.0   | 14000 | 0.3305          |


### Framework versions

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