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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
|