---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: bart-base-with-nothing
  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. -->

# bart-base-with-nothing

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: 0.6005

## 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: 0.0001
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7986        | 1.0   | 4383  | 0.7095          |
| 0.6593        | 2.0   | 8766  | 0.6407          |
| 0.5589        | 3.0   | 13149 | 0.6121          |
| 0.4935        | 4.0   | 17532 | 0.5980          |
| 0.4314        | 5.0   | 21915 | 0.6005          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1