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

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: 1.8845

## 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: 317
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9105        | 1.0   | 212  | 2.6066          |
| 2.5528        | 2.0   | 424  | 2.2820          |
| 2.2435        | 3.0   | 636  | 2.1249          |
| 2.0536        | 4.0   | 848  | 2.0488          |
| 1.8914        | 5.0   | 1060 | 2.0239          |
| 1.8098        | 6.0   | 1272 | 1.9841          |
| 1.7267        | 7.0   | 1484 | 1.9589          |
| 1.6515        | 8.0   | 1696 | 1.9342          |
| 1.5856        | 9.0   | 1908 | 1.9000          |
| 1.5154        | 10.0  | 2120 | 1.9103          |
| 1.457         | 11.0  | 2332 | 1.9085          |
| 1.4072        | 12.0  | 2544 | 1.8845          |
| 1.369         | 13.0  | 2756 | 1.8903          |
| 1.3603        | 14.0  | 2968 | 1.8887          |
| 1.3215        | 15.0  | 3180 | 1.8869          |


### Framework versions

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