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eldor-97
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MarianMix_en-10

Text2Text Generation
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PyTorch
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marian
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update model card README.md

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@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9335
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- - Bleu: 20.4415
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- - Gen Len: 37.2399
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  ## Model description
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@@ -51,17 +51,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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- | 1.8606 | 0.45 | 500 | 2.0707 | 0.0525 | 83.9688 |
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- | 1.0926 | 0.89 | 1000 | 1.9963 | 0.1183 | 75.122 |
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- | 0.9538 | 1.34 | 1500 | 1.6101 | 0.9845 | 24.5988 |
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- | 0.7936 | 1.78 | 2000 | 1.3464 | 6.1226 | 29.5262 |
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- | 0.6772 | 2.23 | 2500 | 1.1988 | 8.0914 | 27.7712 |
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- | 0.5937 | 2.67 | 3000 | 1.0942 | 13.0194 | 32.9385 |
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- | 0.5511 | 3.12 | 3500 | 1.0359 | 16.834 | 37.629 |
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- | 0.496 | 3.56 | 4000 | 0.9921 | 17.442 | 35.126 |
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- | 0.4775 | 4.01 | 4500 | 0.9629 | 18.9129 | 36.2177 |
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- | 0.4389 | 4.45 | 5000 | 0.9439 | 20.5945 | 37.619 |
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- | 0.4405 | 4.9 | 5500 | 0.9335 | 20.4415 | 37.2399 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7618
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+ - Bleu: 27.8168
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+ - Gen Len: 51.7613
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 1.7397 | 0.44 | 500 | 1.5681 | 0.3041 | 17.142 |
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+ | 0.8054 | 0.89 | 1000 | 1.2189 | 11.7152 | 41.5166 |
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+ | 0.632 | 1.33 | 1500 | 1.0506 | 14.1292 | 41.5368 |
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+ | 0.5587 | 1.78 | 2000 | 0.9493 | 19.5829 | 44.3575 |
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+ | 0.4919 | 2.22 | 2500 | 0.8921 | 23.1882 | 50.2095 |
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+ | 0.4564 | 2.67 | 3000 | 0.8518 | 23.6209 | 49.4079 |
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+ | 0.4228 | 3.11 | 3500 | 0.8136 | 25.6456 | 51.8107 |
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+ | 0.3895 | 3.56 | 4000 | 0.7940 | 26.0124 | 50.6052 |
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+ | 0.3832 | 4.0 | 4500 | 0.7781 | 26.5206 | 50.7341 |
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+ | 0.3542 | 4.45 | 5000 | 0.7685 | 27.4901 | 51.6385 |
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+ | 0.3526 | 4.89 | 5500 | 0.7618 | 27.8168 | 51.7613 |
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  ### Framework versions