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

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: 1.2009

## 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: 269
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.492         | 1.0   | 180  | 2.4670          |
| 2.1175        | 2.0   | 360  | 2.1910          |
| 1.8209        | 3.0   | 540  | 1.9628          |
| 1.5473        | 4.0   | 720  | 1.8677          |
| 1.3788        | 5.0   | 900  | 1.7496          |
| 1.2256        | 6.0   | 1080 | 1.6135          |
| 1.0851        | 7.0   | 1260 | 1.5506          |
| 1.0034        | 8.0   | 1440 | 1.4427          |
| 0.9083        | 9.0   | 1620 | 1.3785          |
| 0.839         | 10.0  | 1800 | 1.3249          |
| 0.7747        | 11.0  | 1980 | 1.2845          |
| 0.7332        | 12.0  | 2160 | 1.2503          |
| 0.7062        | 13.0  | 2340 | 1.2189          |
| 0.6824        | 14.0  | 2520 | 1.2087          |
| 0.6568        | 15.0  | 2700 | 1.2009          |


### Framework versions

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