---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: 04-21-02-06-50
  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. -->

# 04-21-02-06-50

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: 0.6318

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7026        | 0.21  | 10   | 0.6899          |
| 0.708         | 0.42  | 20   | 0.6729          |
| 0.6618        | 0.62  | 30   | 0.6621          |
| 0.651         | 0.83  | 40   | 0.6587          |
| 0.6747        | 1.04  | 50   | 0.6538          |
| 0.7415        | 1.25  | 60   | 0.6509          |
| 0.6703        | 1.46  | 70   | 0.6479          |
| 0.6484        | 1.67  | 80   | 0.6436          |
| 0.6895        | 1.88  | 90   | 0.6396          |
| 0.5823        | 2.08  | 100  | 0.6362          |
| 0.7254        | 2.29  | 110  | 0.6343          |
| 0.6256        | 2.5   | 120  | 0.6328          |
| 0.6296        | 2.71  | 130  | 0.6323          |
| 0.6576        | 2.92  | 140  | 0.6318          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3