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End of training

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  1. README.md +20 -20
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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1826
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- - Edit Distance: 13.665
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  ## Model description
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@@ -47,24 +47,24 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Edit Distance |
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  |:-------------:|:-----:|:----:|:---------------:|:-------------:|
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- | 0.7532 | 1.0 | 500 | 0.2907 | 14.165 |
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- | 0.328 | 2.0 | 1000 | 0.2429 | 13.793 |
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- | 0.282 | 3.0 | 1500 | 0.2250 | 13.749 |
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- | 0.2597 | 4.0 | 2000 | 0.2177 | 13.734 |
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- | 0.2463 | 5.0 | 2500 | 0.2033 | 13.773 |
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- | 0.2322 | 6.0 | 3000 | 0.1952 | 13.733 |
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- | 0.2219 | 7.0 | 3500 | 0.1883 | 13.671 |
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- | 0.2159 | 8.0 | 4000 | 0.1864 | 13.674 |
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- | 0.2102 | 9.0 | 4500 | 0.1883 | 13.686 |
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- | 0.2072 | 10.0 | 5000 | 0.1851 | 13.706 |
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- | 0.2057 | 11.0 | 5500 | 0.1839 | 13.681 |
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- | 0.2041 | 12.0 | 6000 | 0.1841 | 13.704 |
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- | 0.2038 | 13.0 | 6500 | 0.1832 | 13.671 |
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- | 0.2027 | 14.0 | 7000 | 0.1833 | 13.653 |
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- | 0.2017 | 15.0 | 7500 | 0.1832 | 13.681 |
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- | 0.201 | 16.0 | 8000 | 0.1829 | 13.687 |
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- | 0.2012 | 17.0 | 8500 | 0.1824 | 13.66 |
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- | 0.2007 | 18.0 | 9000 | 0.1826 | 13.665 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1818
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+ - Edit Distance: 13.598
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Edit Distance |
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  |:-------------:|:-----:|:----:|:---------------:|:-------------:|
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+ | 0.7351 | 1.0 | 500 | 0.2832 | 13.844 |
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+ | 0.3224 | 2.0 | 1000 | 0.2401 | 13.85 |
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+ | 0.2788 | 3.0 | 1500 | 0.2285 | 13.795 |
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+ | 0.2595 | 4.0 | 2000 | 0.2179 | 13.805 |
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+ | 0.2469 | 5.0 | 2500 | 0.2066 | 13.687 |
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+ | 0.233 | 6.0 | 3000 | 0.1912 | 13.67 |
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+ | 0.219 | 7.0 | 3500 | 0.1874 | 13.658 |
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+ | 0.2135 | 8.0 | 4000 | 0.1895 | 13.65 |
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+ | 0.2101 | 9.0 | 4500 | 0.1883 | 13.643 |
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+ | 0.2074 | 10.0 | 5000 | 0.1836 | 13.643 |
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+ | 0.2057 | 11.0 | 5500 | 0.1825 | 13.649 |
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+ | 0.2042 | 12.0 | 6000 | 0.1834 | 13.614 |
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+ | 0.2034 | 13.0 | 6500 | 0.1828 | 13.623 |
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+ | 0.2017 | 14.0 | 7000 | 0.1820 | 13.653 |
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+ | 0.2017 | 15.0 | 7500 | 0.1824 | 13.634 |
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+ | 0.2004 | 16.0 | 8000 | 0.1822 | 13.641 |
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+ | 0.2006 | 17.0 | 8500 | 0.1817 | 13.62 |
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+ | 0.2005 | 18.0 | 9000 | 0.1818 | 13.598 |
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  ### Framework versions