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--- |
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license: cc-by-4.0 |
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base_model: Helsinki-NLP/opus-mt-tc-big-en-ar |
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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-tc-big-en-ar-finetuned-franco-to-arabic-3 |
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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-tc-big-en-ar-finetuned-franco-to-arabic-3 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0027 |
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- Bleu: 9.3993 |
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- Gen Len: 14.8889 |
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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: 25 |
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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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| No log | 1.0 | 21 | 8.1233 | 0.0 | 217.5833 | |
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| No log | 2.0 | 42 | 7.3522 | 0.1587 | 139.6111 | |
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| No log | 3.0 | 63 | 6.7128 | 0.2113 | 63.9722 | |
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| No log | 4.0 | 84 | 6.2283 | 0.2611 | 25.7222 | |
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| No log | 5.0 | 105 | 5.7868 | 0.2545 | 27.3333 | |
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| No log | 6.0 | 126 | 5.4596 | 0.4153 | 25.75 | |
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| No log | 7.0 | 147 | 5.1424 | 0.8436 | 12.6944 | |
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| No log | 8.0 | 168 | 4.8195 | 0.8365 | 13.3889 | |
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| No log | 9.0 | 189 | 4.6181 | 1.2564 | 12.3889 | |
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| No log | 10.0 | 210 | 4.3480 | 1.7124 | 12.9722 | |
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| No log | 11.0 | 231 | 4.1206 | 3.2404 | 13.4167 | |
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| No log | 12.0 | 252 | 3.8982 | 2.4371 | 14.4167 | |
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| No log | 13.0 | 273 | 3.7679 | 3.9697 | 14.2778 | |
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| No log | 14.0 | 294 | 3.6359 | 4.7946 | 13.8889 | |
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| No log | 15.0 | 315 | 3.4940 | 5.9909 | 14.75 | |
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| No log | 16.0 | 336 | 3.3826 | 8.193 | 14.5278 | |
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| No log | 17.0 | 357 | 3.3084 | 7.5299 | 14.3056 | |
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| No log | 18.0 | 378 | 3.2302 | 8.5741 | 14.5833 | |
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| No log | 19.0 | 399 | 3.1751 | 5.9148 | 14.8611 | |
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| No log | 20.0 | 420 | 3.1242 | 10.389 | 14.3889 | |
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| No log | 21.0 | 441 | 3.0618 | 10.5285 | 14.6944 | |
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| No log | 22.0 | 462 | 3.0439 | 11.3953 | 14.6667 | |
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| No log | 23.0 | 483 | 3.0161 | 10.9885 | 14.8889 | |
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| 4.3311 | 24.0 | 504 | 3.0184 | 9.6143 | 14.7778 | |
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| 4.3311 | 25.0 | 525 | 3.0027 | 9.3993 | 14.8889 | |
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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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