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

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: 2.0459

## 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: 71
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3573        | 1.0   | 90   | 2.3117          |
| 2.3048        | 2.0   | 180  | 2.1491          |
| 2.0601        | 3.0   | 270  | 2.1264          |
| 1.9078        | 4.0   | 360  | 2.0917          |
| 1.7892        | 5.0   | 450  | 2.0459          |
| 1.6796        | 6.0   | 540  | 2.0607          |
| 1.658         | 7.0   | 630  | 2.0635          |
| 1.6285        | 8.0   | 720  | 2.0640          |


### Framework versions

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