Training complete
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README.md
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Bleu:
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- Gen Len:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu
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| No log | 1.0 | 107 |
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| No log | 2.0 | 214 | 0.
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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.
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- Tokenizers 0.21.
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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
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