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README.md
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---
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license: cc-by-nc-4.0
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base_model: facebook/nllb-200-distilled-600M
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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-distilled-600M-finetuned_augmented_MT_ar-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-finetuned_augmented_MT_ar-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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7204
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- Bleu: 64.0069
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- Gen Len: 65.416
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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: 8
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- eval_batch_size: 8
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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: 10
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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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| 1.0557 | 1.0 | 2195 | 0.9595 | 49.4737 | 68.419 |
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| 0.9159 | 2.0 | 4390 | 0.8377 | 55.3155 | 67.247 |
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| 0.8074 | 3.0 | 6585 | 0.7898 | 58.8942 | 66.102 |
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| 0.7441 | 4.0 | 8780 | 0.7559 | 60.8889 | 65.846 |
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| 0.6963 | 5.0 | 10975 | 0.7395 | 61.3835 | 66.31 |
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| 0.641 | 6.0 | 13170 | 0.7320 | 62.4226 | 65.985 |
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| 0.6106 | 7.0 | 15365 | 0.7257 | 62.8285 | 65.505 |
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| 0.5826 | 8.0 | 17560 | 0.7212 | 63.5372 | 65.474 |
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| 0.5766 | 9.0 | 19755 | 0.7195 | 63.8042 | 65.525 |
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| 0.5533 | 10.0 | 21950 | 0.7204 | 64.0069 | 65.416 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 1.13.1
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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