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t5-base-finetuned-keyword-to-text-generation

Text2Text Generation
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update model card README.md

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@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.4301
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- - Rouge1: 2.0305
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- - Rouge2: 0.2821
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- - Rougel: 1.6795
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- - Rougelsum: 1.6819
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- - Gen Len: 16.7425
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 375 | 3.5065 | 1.9596 | 0.2776 | 1.6885 | 1.6903 | 17.229 |
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- | 3.7896 | 2.0 | 750 | 3.4689 | 1.9941 | 0.2702 | 1.6672 | 1.6681 | 17.12 |
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- | 3.6241 | 3.0 | 1125 | 3.4516 | 2.0361 | 0.2818 | 1.6907 | 1.6916 | 17.0225 |
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- | 3.5681 | 4.0 | 1500 | 3.4434 | 2.0136 | 0.2802 | 1.6827 | 1.6844 | 16.9145 |
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- | 3.5681 | 5.0 | 1875 | 3.4367 | 2.0343 | 0.2876 | 1.6838 | 1.6866 | 16.79 |
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- | 3.5323 | 6.0 | 2250 | 3.4332 | 2.0325 | 0.283 | 1.6807 | 1.6827 | 16.6645 |
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- | 3.5153 | 7.0 | 2625 | 3.4303 | 2.0313 | 0.2832 | 1.6822 | 1.6844 | 16.752 |
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- | 3.4866 | 8.0 | 3000 | 3.4301 | 2.0305 | 0.2821 | 1.6795 | 1.6819 | 16.7425 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.4643
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+ - Rouge1: 2.1108
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+ - Rouge2: 0.3331
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+ - Rougel: 1.7368
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+ - Rougelsum: 1.7391
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+ - Gen Len: 16.591
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 375 | 3.4862 | 2.0718 | 0.326 | 1.7275 | 1.7308 | 16.7995 |
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+ | 3.5928 | 2.0 | 750 | 3.4761 | 2.0829 | 0.3253 | 1.7192 | 1.7224 | 16.773 |
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+ | 3.5551 | 3.0 | 1125 | 3.4701 | 2.1028 | 0.3272 | 1.7274 | 1.7296 | 16.6505 |
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+ | 3.5225 | 4.0 | 1500 | 3.4671 | 2.11 | 0.3305 | 1.7343 | 1.7362 | 16.699 |
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+ | 3.5225 | 5.0 | 1875 | 3.4653 | 2.1134 | 0.3319 | 1.7418 | 1.7437 | 16.5485 |
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+ | 3.4987 | 6.0 | 2250 | 3.4643 | 2.1108 | 0.3331 | 1.7368 | 1.7391 | 16.591 |
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+ | 3.4939 | 7.0 | 2625 | 3.4643 | 2.1108 | 0.3331 | 1.7368 | 1.7391 | 16.591 |
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+ | 3.498 | 8.0 | 3000 | 3.4643 | 2.1108 | 0.3331 | 1.7368 | 1.7391 | 16.591 |
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  ### Framework versions