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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_synthetic_1-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_synthetic_1-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: 0.6310 |
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- Bleu: 66.0531 |
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- Gen Len: 62.7622 |
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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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| 0.9624 | 1.0 | 1043 | 0.7904 | 57.9585 | 65.1449 | |
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| 0.7619 | 2.0 | 2086 | 0.7172 | 61.4081 | 64.038 | |
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| 0.674 | 3.0 | 3129 | 0.6844 | 63.0849 | 63.1159 | |
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| 0.6086 | 4.0 | 4172 | 0.6626 | 64.6547 | 62.3736 | |
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| 0.5705 | 5.0 | 5215 | 0.6523 | 65.1199 | 62.7662 | |
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| 0.5317 | 6.0 | 6258 | 0.6415 | 65.6392 | 62.7802 | |
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| 0.4943 | 7.0 | 7301 | 0.6367 | 65.4163 | 62.5654 | |
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| 0.4828 | 8.0 | 8344 | 0.6340 | 65.4508 | 62.3506 | |
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| 0.4579 | 9.0 | 9387 | 0.6317 | 65.8711 | 62.6513 | |
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| 0.4577 | 10.0 | 10430 | 0.6310 | 66.0531 | 62.7622 | |
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### Framework versions |
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- Transformers 4.32.0 |
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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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