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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: kinleyrabgay/nllb-200-600M-dzo-eng |
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tags: |
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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-200-600M-dzo-eng-30k |
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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-200-600M-dzo-eng-30k |
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This model is a fine-tuned version of [kinleyrabgay/nllb-200-600M-dzo-eng](https://huggingface.co/kinleyrabgay/nllb-200-600M-dzo-eng) on [kinleyrabgay/dz_to_en](https://huggingface.co/datasets/kinleyrabgay/dz_to_en) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0678 |
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- Bleu: 63.0623 |
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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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 0.0688 | 1.0 | 2500 | 0.0644 | 62.0343 | |
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| 0.0543 | 2.0 | 5000 | 0.0634 | 62.8454 | |
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| 0.0444 | 3.0 | 7500 | 0.0643 | 63.3940 | |
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| 0.0377 | 4.0 | 10000 | 0.0658 | 63.4416 | |
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| 0.0315 | 5.0 | 12500 | 0.0678 | 63.0623 | |
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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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