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--- |
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license: mit |
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tags: |
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- traduction |
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- generated_from_trainer |
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- t |
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- r |
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- a |
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- d |
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- u |
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- c |
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- i |
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- o |
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- n |
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base_model: facebook/mbart-large-50 |
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metrics: |
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- bleu |
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model-index: |
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- name: mbart-traduction-2 |
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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-traduction-2 |
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5284 |
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- Bleu: 4.1841 |
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- Gen Len: 30.0483 |
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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: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 2 |
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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 | 375 | 2.8734 | 1.211 | 40.9267 | |
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| 3.5795 | 2.0 | 750 | 2.5284 | 4.1841 | 30.0483 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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