| | ---
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| | base_model: facebook/bart-base
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| | library_name: transformers
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| | license: apache-2.0
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| | tags:
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| | - generated_from_trainer
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| | model-index:
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| | - name: BART-Firefox-Simplification-Elementary
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| | results: []
|
| | ---
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| |
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| | <!-- 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. -->
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| |
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| | # BART-Firefox-Simplification-Elementary
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| |
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| | This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.4478
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 2.5e-05
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| | - train_batch_size: 32
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| | - eval_batch_size: 32
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| | - seed: 42
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| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: linear
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| | - lr_scheduler_warmup_steps: 404
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| | - num_epochs: 15
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss |
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| | |:-------------:|:-----:|:----:|:---------------:|
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| | | 2.1568 | 1.0 | 270 | 1.6097 |
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| | | 1.7893 | 2.0 | 540 | 1.2922 |
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| | | 1.4104 | 3.0 | 810 | 1.0986 |
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| | | 1.192 | 4.0 | 1080 | 0.9639 |
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| | | 1.0033 | 5.0 | 1350 | 0.8523 |
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| | | 0.8717 | 6.0 | 1620 | 0.7346 |
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| | | 0.7336 | 7.0 | 1890 | 0.6595 |
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| | | 0.6545 | 8.0 | 2160 | 0.6199 |
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| | | 0.5909 | 9.0 | 2430 | 0.5550 |
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| | | 0.5096 | 10.0 | 2700 | 0.5255 |
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| | | 0.4778 | 11.0 | 2970 | 0.5069 |
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| | | 0.4307 | 12.0 | 3240 | 0.4759 |
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| | | 0.404 | 13.0 | 3510 | 0.4557 |
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| | | 0.3798 | 14.0 | 3780 | 0.4505 |
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| | | 0.384 | 15.0 | 4050 | 0.4478 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.48.3
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| | - Pytorch 2.6.0+cu126
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| | - Datasets 3.0.1
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| | - Tokenizers 0.21.0
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| | |
