metadata
base_model: facebook/bart-base
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: BART-Firefox-Simplification
results: []
BART-Firefox-Simplification
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: 1.8845
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