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update model card README.md

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@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3127
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- - Rouge2 Precision: 0.4821
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- - Rouge2 Recall: 0.3147
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- - Rouge2 Fmeasure: 0.3554
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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 | 0.3906 | 0.4016 | 0.2628 | 0.2935 |
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- | 0.6065 | 2.0 | 876 | 0.3412 | 0.4566 | 0.2895 | 0.3291 |
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- | 0.3383 | 3.0 | 1314 | 0.3222 | 0.4787 | 0.3041 | 0.347 |
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- | 0.2872 | 4.0 | 1752 | 0.3148 | 0.4785 | 0.3129 | 0.3526 |
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- | 0.2615 | 5.0 | 2190 | 0.3127 | 0.4821 | 0.3147 | 0.3554 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1327
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+ - Rouge2 Precision: 0.5324
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+ - Rouge2 Recall: 0.3365
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+ - Rouge2 Fmeasure: 0.3854
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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 | 0.1740 | 0.4579 | 0.2878 | 0.3286 |
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+ | 0.29 | 2.0 | 876 | 0.1478 | 0.5047 | 0.3177 | 0.3643 |
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+ | 0.1503 | 3.0 | 1314 | 0.1381 | 0.5218 | 0.3263 | 0.3754 |
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+ | 0.1271 | 4.0 | 1752 | 0.1343 | 0.5151 | 0.3299 | 0.3749 |
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+ | 0.1153 | 5.0 | 2190 | 0.1327 | 0.5324 | 0.3365 | 0.3854 |
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  ### Framework versions