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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-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-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: 0.7281
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- Bleu: 63.3172
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- Gen Len: 65.7
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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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| 1.4803 | 1.0 | 695 | 0.9925 | 48.0036 | 68.092 |
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| 1.0588 | 2.0 | 1390 | 0.8618 | 53.6714 | 67.794 |
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| 0.8397 | 3.0 | 2085 | 0.8034 | 56.8749 | 67.316 |
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| 0.7816 | 4.0 | 2780 | 0.7718 | 59.7588 | 65.822 |
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| 0.7349 | 5.0 | 3475 | 0.7509 | 60.9155 | 66.205 |
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| 0.6737 | 6.0 | 4170 | 0.7422 | 61.9048 | 65.348 |
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| 0.6373 | 7.0 | 4865 | 0.7338 | 62.8549 | 65.607 |
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| 0.617 | 8.0 | 5560 | 0.7308 | 63.6105 | 65.335 |
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| 0.6068 | 9.0 | 6255 | 0.7276 | 63.452 | 65.594 |
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| 0.5913 | 10.0 | 6950 | 0.7281 | 63.3172 | 65.7 |
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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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