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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-en-to-dz
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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-en-to-dz
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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: 1.4130
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- Bleu: 3.9043
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- Gen Len: 16.5447
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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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| 1.7451 | 1.0 | 1688 | 1.5913 | 2.285 | 17.3937 |
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| 1.5595 | 2.0 | 3376 | 1.4808 | 1.9817 | 16.787 |
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| 1.429 | 3.0 | 5064 | 1.4367 | 2.7438 | 16.802 |
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| 1.3653 | 4.0 | 6752 | 1.4180 | 4.3181 | 16.5257 |
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| 1.3291 | 5.0 | 8440 | 1.4130 | 3.9043 | 16.6407 |
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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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