---
base_model: facebook/bart-base
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: BART-Firefox-Simplification-Elementary
  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-Firefox-Simplification-Elementary

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: 0.4478

## 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: 2.5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 404
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1568        | 1.0   | 270  | 1.6097          |
| 1.7893        | 2.0   | 540  | 1.2922          |
| 1.4104        | 3.0   | 810  | 1.0986          |
| 1.192         | 4.0   | 1080 | 0.9639          |
| 1.0033        | 5.0   | 1350 | 0.8523          |
| 0.8717        | 6.0   | 1620 | 0.7346          |
| 0.7336        | 7.0   | 1890 | 0.6595          |
| 0.6545        | 8.0   | 2160 | 0.6199          |
| 0.5909        | 9.0   | 2430 | 0.5550          |
| 0.5096        | 10.0  | 2700 | 0.5255          |
| 0.4778        | 11.0  | 2970 | 0.5069          |
| 0.4307        | 12.0  | 3240 | 0.4759          |
| 0.404         | 13.0  | 3510 | 0.4557          |
| 0.3798        | 14.0  | 3780 | 0.4505          |
| 0.384         | 15.0  | 4050 | 0.4478          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu126
- Datasets 3.0.1
- Tokenizers 0.21.0