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--- |
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language: |
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- fr |
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- bm |
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license: cc-by-nc-4.0 |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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base_model: facebook/nllb-200-distilled-600M |
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datasets: |
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- oza75/mt-fr-bm-texts |
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metrics: |
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- sacrebleu |
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pipeline_tag: translation |
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model-index: |
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- name: nllb-600M-mt-french-bambara |
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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 |
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should probably proofread and complete it, then remove this comment. --> |
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# nllb-600M-mt-french-bambara |
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset. |
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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: 8e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
