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update model card README.md

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@@ -17,11 +17,11 @@ 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: 2.2585
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- - Rouge1: 42.0138
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- - Rouge2: 20.3824
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- - Rougel: 35.9226
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- - Rougelsum: 36.4098
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  ## Model description
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@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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- | 3.2084 | 1.0 | 45 | 2.6096 | 36.0641 | 16.1726 | 30.6534 | 31.2208 |
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- | 2.6719 | 2.0 | 90 | 2.4144 | 38.3223 | 18.4622 | 33.0386 | 33.3649 |
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- | 2.4664 | 3.0 | 135 | 2.3387 | 40.8019 | 20.132 | 35.562 | 35.8487 |
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- | 2.3179 | 4.0 | 180 | 2.2973 | 41.4508 | 20.0392 | 35.4371 | 35.8095 |
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- | 2.339 | 5.0 | 225 | 2.2793 | 41.9099 | 19.851 | 35.7856 | 36.2254 |
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- | 2.2179 | 6.0 | 270 | 2.2664 | 41.8293 | 19.758 | 35.6159 | 36.0451 |
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- | 2.2663 | 7.0 | 315 | 2.2593 | 41.9407 | 19.8932 | 35.8745 | 36.316 |
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- | 2.142 | 8.0 | 360 | 2.2585 | 42.0138 | 20.3824 | 35.9226 | 36.4098 |
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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: 2.2669
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+ - Rouge1: 43.2372
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+ - Rouge2: 21.6755
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+ - Rougel: 38.1637
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+ - Rougelsum: 38.5444
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 3.2032 | 1.0 | 45 | 2.6305 | 34.393 | 15.4821 | 30.3601 | 30.5865 |
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+ | 2.6291 | 2.0 | 90 | 2.4169 | 38.2327 | 18.4622 | 34.2887 | 34.3385 |
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+ | 2.4294 | 3.0 | 135 | 2.3395 | 40.4405 | 19.927 | 36.559 | 36.8095 |
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+ | 2.3191 | 4.0 | 180 | 2.3059 | 41.4214 | 20.4534 | 36.6399 | 36.9088 |
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+ | 2.2949 | 5.0 | 225 | 2.2857 | 42.6906 | 21.1492 | 37.5557 | 37.8722 |
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+ | 2.2591 | 6.0 | 270 | 2.2762 | 43.1598 | 21.6179 | 38.1235 | 38.5053 |
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+ | 2.1722 | 7.0 | 315 | 2.2680 | 43.4447 | 21.8048 | 38.4077 | 38.7384 |
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+ | 2.1993 | 8.0 | 360 | 2.2669 | 43.2372 | 21.6755 | 38.1637 | 38.5444 |
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  ### Framework versions