---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-noise-03
  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-03

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: 0.4432

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7656        | 0.11  | 500   | 0.6197          |
| 0.648         | 0.21  | 1000  | 0.5950          |
| 0.6307        | 0.32  | 1500  | 0.5712          |
| 0.6847        | 0.43  | 2000  | 0.5361          |
| 0.5841        | 0.54  | 2500  | 0.5333          |
| 0.5418        | 0.64  | 3000  | 0.5195          |
| 0.5303        | 0.75  | 3500  | 0.5068          |
| 0.5555        | 0.86  | 4000  | 0.4948          |
| 0.5109        | 0.96  | 4500  | 0.4851          |
| 0.4823        | 1.07  | 5000  | 0.4866          |
| 0.491         | 1.18  | 5500  | 0.4793          |
| 0.441         | 1.28  | 6000  | 0.4825          |
| 0.4939        | 1.39  | 6500  | 0.4730          |
| 0.4425        | 1.5   | 7000  | 0.4715          |
| 0.4942        | 1.61  | 7500  | 0.4676          |
| 0.4256        | 1.71  | 8000  | 0.4593          |
| 0.5072        | 1.82  | 8500  | 0.4587          |
| 0.4215        | 1.93  | 9000  | 0.4561          |
| 0.3497        | 2.03  | 9500  | 0.4589          |
| 0.3899        | 2.14  | 10000 | 0.4575          |
| 0.3759        | 2.25  | 10500 | 0.4545          |
| 0.3637        | 2.35  | 11000 | 0.4535          |
| 0.3997        | 2.46  | 11500 | 0.4456          |
| 0.3496        | 2.57  | 12000 | 0.4466          |
| 0.3409        | 2.68  | 12500 | 0.4460          |
| 0.3575        | 2.78  | 13000 | 0.4440          |
| 0.3925        | 2.89  | 13500 | 0.4427          |
| 0.3228        | 3.0   | 14000 | 0.4432          |


### Framework versions

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