---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: bart_test_p2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart_test_p2

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0481

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1378        | 0.34  | 500  | 0.1011          |
| 0.0977        | 0.67  | 1000 | 0.0810          |
| 0.0802        | 1.01  | 1500 | 0.0678          |
| 0.0533        | 1.35  | 2000 | 0.0639          |
| 0.0534        | 1.69  | 2500 | 0.0560          |
| 0.0435        | 2.02  | 3000 | 0.0531          |
| 0.0303        | 2.36  | 3500 | 0.0544          |
| 0.0323        | 2.7   | 4000 | 0.0521          |
| 0.0254        | 3.04  | 4500 | 0.0488          |
| 0.022         | 3.37  | 5000 | 0.0490          |
| 0.0199        | 3.71  | 5500 | 0.0480          |
| 0.0142        | 4.05  | 6000 | 0.0477          |
| 0.0134        | 4.39  | 6500 | 0.0481          |
| 0.0113        | 4.72  | 7000 | 0.0481          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0.dev20230621+cu117
- Datasets 2.17.0
- Tokenizers 0.15.0