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--- |
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base_model: facebook/mbart-large-50-many-to-many-mmt |
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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: mbart-large-50-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi |
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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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# mbart-large-50-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi |
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8373 |
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- Bleu: 5.0308 |
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- Gen Len: 52.3902 |
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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: 0.0002 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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| No log | 1.0 | 77 | 2.9700 | 1.8614 | 49.3137 | |
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| No log | 2.0 | 154 | 2.8490 | 2.477 | 49.817 | |
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| No log | 3.0 | 231 | 2.9014 | 2.9323 | 51.0426 | |
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| No log | 4.0 | 308 | 3.0640 | 3.7026 | 62.0698 | |
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| No log | 5.0 | 385 | 3.2683 | 3.9123 | 49.7686 | |
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| No log | 6.0 | 462 | 3.4488 | 4.2838 | 52.1925 | |
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| 1.7841 | 7.0 | 539 | 3.5876 | 4.6755 | 53.1631 | |
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| 1.7841 | 8.0 | 616 | 3.7173 | 4.4499 | 48.1984 | |
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| 1.7841 | 9.0 | 693 | 3.7868 | 4.8237 | 51.9214 | |
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| 1.7841 | 10.0 | 770 | 3.8373 | 5.0308 | 52.3902 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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