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eldor-97
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MarianMix_en-10

Text2Text Generation
Transformers
PyTorch
TensorBoard
marian
Generated from Trainer
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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: 0.8803
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- - Bleu: 23.6239
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- - Gen Len: 51.2649
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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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- | 2.1722 | 0.44 | 500 | 1.8946 | 0.4102 | 124.8963 |
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- | 1.0814 | 0.89 | 1000 | 1.5009 | 5.0012 | 80.8288 |
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- | 0.8604 | 1.33 | 1500 | 1.2599 | 12.4645 | 56.8862 |
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- | 0.7566 | 1.78 | 2000 | 1.1307 | 15.6882 | 47.8197 |
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- | 0.6633 | 2.22 | 2500 | 1.0370 | 18.4638 | 52.2407 |
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- | 0.6138 | 2.67 | 3000 | 0.9882 | 20.287 | 49.2628 |
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- | 0.5712 | 3.11 | 3500 | 0.9479 | 21.163 | 48.8016 |
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- | 0.5247 | 3.56 | 4000 | 0.9192 | 22.1825 | 49.9617 |
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- | 0.5175 | 4.0 | 4500 | 0.8960 | 23.3096 | 51.2014 |
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- | 0.478 | 4.45 | 5000 | 0.8878 | 23.3829 | 51.3011 |
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- | 0.4748 | 4.89 | 5500 | 0.8803 | 23.6239 | 51.2649 |
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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: 0.6857
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+ - Bleu: 27.5143
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+ - Gen Len: 34.3598
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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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+ | 1.9771 | 0.44 | 500 | 1.5875 | 1.2678 | 52.398 |
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+ | 0.9175 | 0.89 | 1000 | 1.2906 | 6.1512 | 33.5839 |
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+ | 0.7443 | 1.33 | 1500 | 1.0735 | 11.8884 | 33.0704 |
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+ | 0.6426 | 1.78 | 2000 | 0.9260 | 16.6793 | 36.4523 |
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+ | 0.5637 | 2.22 | 2500 | 0.8367 | 20.7927 | 35.9216 |
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+ | 0.5013 | 2.67 | 3000 | 0.7833 | 22.5786 | 34.401 |
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+ | 0.465 | 3.11 | 3500 | 0.7479 | 24.2307 | 36.3799 |
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+ | 0.4187 | 3.56 | 4000 | 0.7232 | 25.5875 | 33.5236 |
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+ | 0.4108 | 4.0 | 4500 | 0.6995 | 26.672 | 33.9236 |
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+ | 0.3703 | 4.45 | 5000 | 0.6924 | 27.0479 | 34.9759 |
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+ | 0.3701 | 4.89 | 5500 | 0.6857 | 27.5143 | 34.3598 |
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  ### Framework versions