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kabilanp942
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t5-finetuned-amazon-english

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update model card README.md

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@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 18.7098
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,10 +33,10 @@ 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 the amazon_reviews_multi dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.1713
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- - Rouge1: 18.7098
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- - Rouge2: 9.9019
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- - Rougel: 18.2795
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- - Rougelsum: 18.2925
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  ## Model description
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@@ -67,19 +67,19 @@ 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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- | 3.3583 | 1.0 | 771 | 3.2513 | 16.5417 | 8.9698 | 15.7926 | 15.8127 |
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- | 3.1022 | 2.0 | 1542 | 3.2147 | 16.6827 | 9.3524 | 16.1397 | 16.2087 |
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- | 3.0067 | 3.0 | 2313 | 3.1718 | 16.6986 | 8.6935 | 16.2053 | 16.1888 |
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- | 2.9482 | 4.0 | 3084 | 3.1854 | 18.6103 | 9.4789 | 18.1749 | 18.1577 |
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- | 2.8934 | 5.0 | 3855 | 3.1669 | 18.445 | 9.9309 | 17.9841 | 18.0504 |
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- | 2.8389 | 6.0 | 4626 | 3.1782 | 18.278 | 9.2814 | 17.8083 | 17.7972 |
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- | 2.8174 | 7.0 | 5397 | 3.1709 | 18.0617 | 9.7083 | 17.6292 | 17.6091 |
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- | 2.8 | 8.0 | 6168 | 3.1713 | 18.7098 | 9.9019 | 18.2795 | 18.2925 |
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  ### Framework versions
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- - Transformers 4.21.3
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.4.0
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  - Tokenizers 0.12.1
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 19.1814
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the amazon_reviews_multi dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.1713
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+ - Rouge1: 19.1814
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+ - Rouge2: 9.8673
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+ - Rougel: 18.1982
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+ - Rougelsum: 18.2963
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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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+ | 3.3583 | 1.0 | 771 | 3.2513 | 16.6865 | 9.0598 | 15.8299 | 15.8472 |
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+ | 3.1022 | 2.0 | 1542 | 3.2147 | 16.8499 | 9.4849 | 16.1568 | 16.2437 |
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+ | 3.0067 | 3.0 | 2313 | 3.1718 | 16.9516 | 8.762 | 16.104 | 16.2186 |
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+ | 2.9482 | 4.0 | 3084 | 3.1854 | 18.9582 | 9.5416 | 18.0846 | 18.2938 |
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+ | 2.8934 | 5.0 | 3855 | 3.1669 | 18.857 | 9.934 | 17.9027 | 18.0272 |
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+ | 2.8389 | 6.0 | 4626 | 3.1782 | 18.6736 | 9.326 | 17.6943 | 17.8852 |
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+ | 2.8174 | 7.0 | 5397 | 3.1709 | 18.4342 | 9.6936 | 17.5714 | 17.6516 |
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+ | 2.8 | 8.0 | 6168 | 3.1713 | 19.1814 | 9.8673 | 18.1982 | 18.2963 |
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  ### Framework versions
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+ - Transformers 4.22.0
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.4.0
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  - Tokenizers 0.12.1