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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-mul-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: my_yoruba_translator_new1 |
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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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# my_yoruba_translator_new1 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4760 |
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- Bleu: 19.1364 |
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- Gen Len: 24.5459 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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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 | 252 | 2.6553 | 17.4458 | 25.2511 | |
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| 2.9795 | 2.0 | 504 | 2.5441 | 18.4384 | 26.4764 | |
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| 2.9795 | 3.0 | 756 | 2.5060 | 18.9805 | 24.5285 | |
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| 2.3359 | 4.0 | 1008 | 2.4875 | 19.0552 | 25.3161 | |
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| 2.3359 | 5.0 | 1260 | 2.4766 | 19.2483 | 25.4734 | |
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| 2.1524 | 6.0 | 1512 | 2.4760 | 19.1364 | 24.5459 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.4.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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