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es_fi_all

Text2Text Generation
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PyTorch
marian
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update model card README.md

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@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nouman-10/es_fi_all_quy](https://huggingface.co/nouman-10/es_fi_all_quy) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4779
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- - Bleu: 1.6745
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- - Chrf: 32.4462
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- - Gen Len: 42.4789
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|
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- | 0.2977 | 0.09 | 1000 | 0.4895 | 1.4944 | 31.8832 | 41.2596 |
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- | 0.2977 | 0.17 | 2000 | 0.4870 | 1.3779 | 31.419 | 44.5825 |
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- | 0.2851 | 0.26 | 3000 | 0.4849 | 1.1958 | 30.8243 | 48.3773 |
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- | 0.2829 | 0.34 | 4000 | 0.4828 | 1.7102 | 31.6821 | 43.6841 |
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- | 0.2881 | 0.43 | 5000 | 0.4822 | 1.8438 | 32.6924 | 39.0855 |
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- | 0.2847 | 0.51 | 6000 | 0.4796 | 1.2714 | 31.2343 | 49.8511 |
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- | 0.2812 | 0.6 | 7000 | 0.4799 | 1.7161 | 32.2005 | 46.3149 |
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- | 0.2753 | 0.68 | 8000 | 0.4790 | 1.2392 | 32.7687 | 40.1841 |
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- | 0.282 | 0.77 | 9000 | 0.4804 | 1.3175 | 32.1637 | 41.4537 |
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- | 0.2743 | 0.85 | 10000 | 0.4784 | 1.4782 | 32.5727 | 42.0936 |
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- | 0.2719 | 0.94 | 11000 | 0.4781 | 1.5137 | 31.9548 | 44.4477 |
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- | 0.2668 | 1.02 | 12000 | 0.4797 | 1.1151 | 31.5602 | 43.9336 |
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- | 0.2638 | 1.11 | 13000 | 0.4779 | 1.6745 | 32.4462 | 42.4789 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nouman-10/es_fi_all_quy](https://huggingface.co/nouman-10/es_fi_all_quy) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4773
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+ - Bleu: 1.1702
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+ - Chrf: 32.2626
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+ - Gen Len: 42.5624
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|
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+ | 0.2605 | 0.09 | 1000 | 0.4847 | 1.8846 | 32.7838 | 39.4779 |
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+ | 0.261 | 0.17 | 2000 | 0.4873 | 1.3126 | 31.9688 | 44.8249 |
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+ | 0.2502 | 0.26 | 3000 | 0.4867 | 1.6368 | 31.9802 | 44.333 |
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+ | 0.2487 | 0.34 | 4000 | 0.4872 | 1.6792 | 32.9128 | 41.8471 |
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+ | 0.2543 | 0.43 | 5000 | 0.4879 | 2.0824 | 33.9884 | 37.4266 |
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+ | 0.2515 | 0.51 | 6000 | 0.4868 | 1.4516 | 32.3054 | 45.1831 |
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+ | 0.2492 | 0.6 | 7000 | 0.4870 | 1.7172 | 33.4569 | 40.665 |
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+ | 0.2448 | 0.68 | 8000 | 0.4848 | 1.3133 | 33.1493 | 39.0855 |
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+ | 0.2771 | 0.77 | 9000 | 0.4788 | 1.3129 | 32.201 | 42.5131 |
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+ | 0.2693 | 0.85 | 10000 | 0.4773 | 1.1702 | 32.2626 | 42.5624 |
 
 
 
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  ### Framework versions