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EN_mt5-small_15_spider

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update model card README.md

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@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3864
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- - Rouge2 Precision: 0.4106
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- - Rouge2 Recall: 0.2578
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- - Rouge2 Fmeasure: 0.2937
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  ## Model description
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@@ -48,21 +48,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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- | No log | 1.0 | 438 | 3.8361 | 0.0003 | 0.0006 | 0.0002 |
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- | 16.5932 | 2.0 | 876 | 1.5381 | 0.0031 | 0.0012 | 0.0016 |
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- | 2.0998 | 3.0 | 1314 | 0.7401 | 0.0938 | 0.052 | 0.0569 |
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- | 1.1309 | 4.0 | 1752 | 0.4827 | 0.267 | 0.1627 | 0.1791 |
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- | 0.5166 | 5.0 | 2190 | 0.4313 | 0.3065 | 0.1922 | 0.2121 |
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- | 0.3883 | 6.0 | 2628 | 0.4112 | 0.3387 | 0.219 | 0.2418 |
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- | 0.3299 | 7.0 | 3066 | 0.3975 | 0.3758 | 0.2331 | 0.2624 |
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- | 0.293 | 8.0 | 3504 | 0.3896 | 0.3759 | 0.2451 | 0.2713 |
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- | 0.293 | 9.0 | 3942 | 0.3914 | 0.396 | 0.2504 | 0.2838 |
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- | 0.2687 | 10.0 | 4380 | 0.3863 | 0.3948 | 0.2531 | 0.2851 |
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- | 0.2537 | 11.0 | 4818 | 0.3877 | 0.3962 | 0.2542 | 0.2863 |
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- | 0.2431 | 12.0 | 5256 | 0.3860 | 0.4096 | 0.2545 | 0.2909 |
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- | 0.2331 | 13.0 | 5694 | 0.3872 | 0.403 | 0.2561 | 0.2909 |
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- | 0.23 | 14.0 | 6132 | 0.3862 | 0.4082 | 0.2577 | 0.293 |
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- | 0.225 | 15.0 | 6570 | 0.3864 | 0.4106 | 0.2578 | 0.2937 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3864
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+ - Rouge2 Precision: 0.4111
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+ - Rouge2 Recall: 0.2576
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+ - Rouge2 Fmeasure: 0.2936
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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+ | No log | 1.0 | 438 | 3.8361 | 0.0002 | 0.0006 | 0.0002 |
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+ | 16.5932 | 2.0 | 876 | 1.5381 | 0.0031 | 0.0011 | 0.0016 |
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+ | 2.0998 | 3.0 | 1314 | 0.7401 | 0.0941 | 0.0521 | 0.0571 |
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+ | 1.1309 | 4.0 | 1752 | 0.4827 | 0.2672 | 0.1628 | 0.1794 |
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+ | 0.5166 | 5.0 | 2190 | 0.4313 | 0.3065 | 0.192 | 0.212 |
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+ | 0.3883 | 6.0 | 2628 | 0.4112 | 0.3388 | 0.2187 | 0.2415 |
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+ | 0.3299 | 7.0 | 3066 | 0.3975 | 0.376 | 0.2326 | 0.262 |
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+ | 0.293 | 8.0 | 3504 | 0.3896 | 0.3758 | 0.245 | 0.271 |
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+ | 0.293 | 9.0 | 3942 | 0.3914 | 0.3954 | 0.2501 | 0.2837 |
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+ | 0.2687 | 10.0 | 4380 | 0.3863 | 0.3947 | 0.2529 | 0.285 |
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+ | 0.2537 | 11.0 | 4818 | 0.3877 | 0.3959 | 0.2539 | 0.2861 |
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+ | 0.2431 | 12.0 | 5256 | 0.3860 | 0.4098 | 0.2544 | 0.2908 |
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+ | 0.2331 | 13.0 | 5694 | 0.3872 | 0.4031 | 0.2559 | 0.2906 |
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+ | 0.23 | 14.0 | 6132 | 0.3862 | 0.4082 | 0.2575 | 0.2928 |
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+ | 0.225 | 15.0 | 6570 | 0.3864 | 0.4111 | 0.2576 | 0.2936 |
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  ### Framework versions