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README.md
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---
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-ar-en
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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: opus-mt-ar-en-finetuned_augmented_MTback-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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# opus-mt-ar-en-finetuned_augmented_MTback-ar-to-en
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8227
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- Bleu: 66.3415
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- Gen Len: 59.569
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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: 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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| 2.3965 | 1.0 | 1098 | 1.1276 | 52.6355 | 62.191 |
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| 2.0086 | 2.0 | 2196 | 0.9785 | 58.7217 | 61.399 |
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| 1.7825 | 3.0 | 3294 | 0.9172 | 61.1046 | 61.316 |
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| 1.6434 | 4.0 | 4392 | 0.8788 | 63.501 | 60.232 |
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| 1.5295 | 5.0 | 5490 | 0.8571 | 64.7425 | 59.709 |
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| 1.4316 | 6.0 | 6588 | 0.8419 | 65.7013 | 59.381 |
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| 1.3766 | 7.0 | 7686 | 0.8315 | 65.9805 | 59.585 |
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| 1.3241 | 8.0 | 8784 | 0.8254 | 66.2432 | 59.516 |
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| 1.2965 | 9.0 | 9882 | 0.8238 | 66.2241 | 59.604 |
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| 1.2877 | 10.0 | 10980 | 0.8227 | 66.3415 | 59.569 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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