| | ---
|
| | 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
|
| | |
