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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/m2m100_418M |
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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: wolofToFrenchTranslator |
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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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# wolofToFrenchTranslator |
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0479 |
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- Bleu: 12.2693 |
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- Gen Len: 32.7694 |
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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: Use OptimizerNames.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: 5 |
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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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| 2.895 | 1.0 | 889 | 2.3133 | 8.1132 | 35.2036 | |
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| 2.1873 | 2.0 | 1778 | 2.1484 | 10.3261 | 34.378 | |
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| 1.9413 | 3.0 | 2667 | 2.0851 | 11.2136 | 32.7497 | |
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| 1.766 | 4.0 | 3556 | 2.0522 | 12.2257 | 32.6971 | |
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| 1.6878 | 5.0 | 4445 | 2.0479 | 12.2693 | 32.7694 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.1 |
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