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eldor-97
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MarianMix_en-10

Text2Text Generation
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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-tatoeba-en-ja](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-ja) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8545
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- - Bleu: 24.9113
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- - Gen Len: 39.1404
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  ## Model description
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@@ -49,19 +49,19 @@ The following hyperparameters were used during training:
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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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- | 2.0876 | 0.44 | 500 | 1.8831 | 0.7013 | 67.3039 |
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- | 1.0798 | 0.89 | 1000 | 1.5775 | 3.3504 | 62.6921 |
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- | 0.8689 | 1.33 | 1500 | 1.2670 | 10.666 | 38.6369 |
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- | 0.7569 | 1.78 | 2000 | 1.1052 | 15.5126 | 39.0221 |
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- | 0.6616 | 2.22 | 2500 | 1.0188 | 18.7149 | 39.7563 |
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- | 0.5975 | 2.67 | 3000 | 0.9571 | 20.8306 | 38.6138 |
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- | 0.5601 | 3.11 | 3500 | 0.9231 | 22.1631 | 38.4594 |
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- | 0.5162 | 3.56 | 4000 | 0.8886 | 23.4946 | 38.4875 |
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- | 0.5056 | 4.0 | 4500 | 0.8747 | 24.1626 | 38.7101 |
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- | 0.4664 | 4.45 | 5000 | 0.8608 | 24.7028 | 38.6409 |
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- | 0.4668 | 4.89 | 5500 | 0.8545 | 24.9113 | 39.1404 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-ja](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-ja) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6475
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+ - Bleu: 3.3068
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+ - Gen Len: 46.466
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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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+ | 1.7048 | 0.44 | 500 | 1.0358 | 0.7054 | 50.216 |
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+ | 0.6727 | 0.89 | 1000 | 0.8751 | 1.1453 | 46.401 |
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+ | 0.5497 | 1.33 | 1500 | 0.7978 | 1.2939 | 46.27 |
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+ | 0.5087 | 1.77 | 2000 | 0.7424 | 1.7606 | 48.227 |
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+ | 0.4488 | 2.22 | 2500 | 0.7176 | 2.1927 | 47.076 |
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+ | 0.4077 | 2.66 | 3000 | 0.6888 | 2.5931 | 46.162 |
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+ | 0.3895 | 3.1 | 3500 | 0.6776 | 2.975 | 45.728 |
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+ | 0.3465 | 3.55 | 4000 | 0.6645 | 2.9679 | 46.047 |
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+ | 0.3464 | 3.99 | 4500 | 0.6533 | 3.435 | 46.317 |
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+ | 0.3119 | 4.43 | 5000 | 0.6517 | 3.4986 | 46.333 |
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+ | 0.3066 | 4.88 | 5500 | 0.6475 | 3.3068 | 46.466 |
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  ### Framework versions