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Training complete

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@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # mbart-en-es
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- This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3235
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- - Bleu: 76.1758
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- - Gen Len: 21.2664
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  ## Model description
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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 | 107 | 0.4408 | 68.9038 | 21.215 |
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- | No log | 2.0 | 214 | 0.3235 | 76.1758 | 21.2664 |
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  ### Framework versions
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  - Transformers 4.49.0
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  - Pytorch 2.6.0+cu124
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- - Datasets 3.4.0
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- - Tokenizers 0.21.0
 
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  # mbart-en-es
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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: 0.6494
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+ - Bleu: 45.526
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+ - Gen Len: 17.1682
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  ## Model description
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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 | 107 | 14.5942 | 14.804 | 111.8692 |
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+ | No log | 2.0 | 214 | 0.6494 | 45.526 | 17.1682 |
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  ### Framework versions
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  - Transformers 4.49.0
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  - Pytorch 2.6.0+cu124
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+ - Datasets 3.4.1
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+ - Tokenizers 0.21.1