metadata
base_model: facebook/bart-base
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: BART-Firefox-Simplification-Secondary
results: []
BART-Firefox-Simplification-Secondary
This model is a fine-tuned version of 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