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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-1 |
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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-1 |
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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: 2.1589 |
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- Bleu: 27.737 |
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- Gen Len: 20.9565 |
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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: 20 |
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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 | 13 | 3.2371 | 9.9987 | 21.0 | |
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| No log | 2.0 | 26 | 3.1023 | 10.8123 | 19.7826 | |
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| No log | 3.0 | 39 | 2.9474 | 9.0815 | 20.4783 | |
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| No log | 4.0 | 52 | 2.8274 | 11.6434 | 21.3478 | |
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| No log | 5.0 | 65 | 2.6879 | 11.6494 | 21.4348 | |
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| No log | 6.0 | 78 | 2.6243 | 16.1661 | 21.2174 | |
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| No log | 7.0 | 91 | 2.5342 | 16.5707 | 22.1304 | |
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| No log | 8.0 | 104 | 2.5489 | 17.885 | 20.2609 | |
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| No log | 9.0 | 117 | 2.4488 | 17.6415 | 20.4348 | |
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| No log | 10.0 | 130 | 2.4177 | 18.5943 | 20.5652 | |
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| No log | 11.0 | 143 | 2.3239 | 20.0857 | 21.3043 | |
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| No log | 12.0 | 156 | 2.2723 | 22.9544 | 21.4348 | |
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| No log | 13.0 | 169 | 2.2456 | 25.4455 | 21.5217 | |
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| No log | 14.0 | 182 | 2.2628 | 24.8757 | 21.2609 | |
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| No log | 15.0 | 195 | 2.2229 | 26.0051 | 21.3478 | |
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| No log | 16.0 | 208 | 2.2090 | 27.6742 | 20.8261 | |
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| No log | 17.0 | 221 | 2.1762 | 26.7048 | 21.3913 | |
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| No log | 18.0 | 234 | 2.1786 | 27.7328 | 21.1304 | |
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| No log | 19.0 | 247 | 2.1631 | 27.7187 | 21.2174 | |
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| No log | 20.0 | 260 | 2.1589 | 27.737 | 20.9565 | |
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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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- Tokenizers 0.13.3 |
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