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README.md
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---
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license: cc-by-nc-4.0
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tags:
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- translation
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: nllb-200-distilled-600M-dz-to-en
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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-200-distilled-600M-dz-to-en
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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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It achieves the following results on the evaluation set:
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- Loss: 0.7727
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- Bleu: 42.8708
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- Gen Len: 13.335
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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: 2e-05
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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: 5
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- mixed_precision_training: Native AMP
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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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| 0.9294 | 1.0 | 1688 | 0.8364 | 39.0175 | 13.2637 |
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| 0.7929 | 2.0 | 3376 | 0.7893 | 40.9994 | 13.303 |
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| 0.7069 | 3.0 | 5064 | 0.7737 | 42.4125 | 13.292 |
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| 0.6482 | 4.0 | 6752 | 0.7701 | 42.826 | 13.3287 |
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| 0.6231 | 5.0 | 8440 | 0.7727 | 42.8708 | 13.335 |
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### Framework versions
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- Transformers 4.29.0.dev0
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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