| --- |
| license: mit |
| base_model: facebook/mbart-large-50 |
| tags: |
| - reformulation |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: mbart-neutralization |
| 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. --> |
|
|
| # mbart-neutralization |
|
|
| This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.0459 |
| - Bleu: 8.565 |
| - Gen Len: 20.9268 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
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|
| ## Training and evaluation data |
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|
| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5.6e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
| | No log | 1.0 | 16 | 3.7800 | 7.2466 | 18.8049 | |
| | No log | 2.0 | 32 | 3.0459 | 8.565 | 20.9268 | |
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| ### Framework versions |
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|
| - Transformers 4.40.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
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|
