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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/mbart-large-50 |
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tags: |
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- simplification |
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- generated_from_trainer |
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datasets: |
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- flores |
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metrics: |
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- bleu |
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model-index: |
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- name: mbart-flores |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: flores |
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type: flores |
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config: spa_Latn-eng_Latn |
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split: devtest |
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args: spa_Latn-eng_Latn |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 15.8101 |
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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 |
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should probably proofread and complete it, then remove this comment. --> |
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# mbart-flores |
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the flores dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4899 |
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- Bleu: 15.8101 |
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- Gen Len: 81.2846 |
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## Model description |
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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 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 125 | 0.4820 | 19.6465 | 32.75 | |
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| No log | 2.0 | 250 | 0.4899 | 15.8101 | 81.2846 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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