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

# results

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: 0.2933

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5922        | 1.0   | 176  | 1.6306          |
| 0.5199        | 2.0   | 352  | 0.3777          |
| 0.4592        | 3.0   | 528  | 0.3371          |
| 0.3187        | 4.0   | 704  | 0.3111          |
| 0.3016        | 5.0   | 880  | 0.2977          |
| 0.2335        | 6.0   | 1056 | 0.2938          |
| 0.1684        | 7.0   | 1232 | 0.2874          |
| 0.1294        | 8.0   | 1408 | 0.2960          |
| 0.1348        | 9.0   | 1584 | 0.2924          |
| 0.137         | 10.0  | 1760 | 0.2933          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2