---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: test-case-bart
  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. -->

# test-case-bart

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: 0.3864

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7423        | 1.0   | 284  | 0.5396          |
| 0.4034        | 2.0   | 568  | 0.4471          |
| 0.3873        | 3.0   | 852  | 0.4062          |
| 0.3427        | 4.0   | 1136 | 0.3816          |
| 0.1896        | 5.0   | 1420 | 0.3715          |
| 0.2805        | 6.0   | 1704 | 0.3745          |
| 0.2514        | 7.0   | 1988 | 0.3745          |
| 0.2622        | 8.0   | 2272 | 0.3818          |
| 0.2816        | 9.0   | 2556 | 0.3817          |
| 0.1705        | 10.0  | 2840 | 0.3864          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2