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code_trans_t5_base_code_documentation_generation_ruby_multitask_finetune

Summarization
Transformers
PyTorch
JAX
t5
feature-extraction
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -61,20 +61,21 @@ For the code documentation tasks, different models achieves the following result
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  Test results :
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  | Language / Model | Python | Java | Go | Php | Ruby | JavaScript |
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  | -------------------- | :------------: | :------------: | :------------: | :------------: | :------------: | :------------: |
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- | ST-Small | 17.31 | 16.65 | 16.89 | 23.05 | 9.19 | 13.7 |
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- | ST-Base | 16.86 | 17.17 | 17.16 | 22.98 | 8.23 | 13.17 |
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- | TF-Small | 19.93 | 19.48 | 18.88 | 25.35 | 13.15 | 17.23 |
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- | TF-Base | 20.26 | 20.19 | **19.50** | 25.84 | 14.07 | 18.25 |
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- | TF-Large | XX | XX | XX | XX | XX | XX |
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- | MT-Small | 19.64 | 19.00 | 19.15 | 24.68 | 14.91 | 15.26 |
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- | MT-Base | **20.39** | **21.22** | 19.43 | **26.23** | **15.26** | 16.11 |
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- | MT-Large | XX | XX | XX | XX | XX | XX |
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- | MT-FT-Small | 19.77 | 20.04 | 19.36 | 25.55 | 13.70 | 17.24 |
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- | **MT-FT-Base**| 19.77 | 21.12 | 18.86 | 25.79 | 14.24 | **18.62** |
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- | MT-FT-Large | XX | XX | XX | XX | XX | XX |
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- | State of the art | 19.06 | 17.65 | 18.07 | 25.16 | 12.16 | 14.90 |
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  > Created by [Ahmed Elnaggar](https://twitter.com/Elnaggar_AI) | [LinkedIn](https://www.linkedin.com/in/prof-ahmed-elnaggar/) and Wei Ding | [LinkedIn](https://www.linkedin.com/in/wei-ding-92561270/)
 
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  Test results :
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  | Language / Model | Python | Java | Go | Php | Ruby | JavaScript |
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  | -------------------- | :------------: | :------------: | :------------: | :------------: | :------------: | :------------: |
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+ | CodeTrans-ST-Small | 17.31 | 16.65 | 16.89 | 23.05 | 9.19 | 13.7 |
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+ | CodeTrans-ST-Base | 16.86 | 17.17 | 17.16 | 22.98 | 8.23 | 13.17 |
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+ | CodeTrans-TF-Small | 19.93 | 19.48 | 18.88 | 25.35 | 13.15 | 17.23 |
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+ | CodeTrans-TF-Base | 20.26 | 20.19 | 19.50 | 25.84 | 14.07 | 18.25 |
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+ | CodeTrans-TF-Large | 20.35 | 20.06 | **19.54** | 26.18 | 14.94 | **18.98** |
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+ | CodeTrans-MT-Small | 19.64 | 19.00 | 19.15 | 24.68 | 14.91 | 15.26 |
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+ | CodeTrans-MT-Base | **20.39** | 21.22 | 19.43 | **26.23** | **15.26** | 16.11 |
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+ | CodeTrans-MT-Large | 20.18 | **21.87** | 19.38 | 26.08 | 15.00 | 16.23 |
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+ | CodeTrans-MT-TF-Small | 19.77 | 20.04 | 19.36 | 25.55 | 13.70 | 17.24 |
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+ | CodeTrans-MT-TF-Base | 19.77 | 21.12 | 18.86 | 25.79 | 14.24 | 18.62 |
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+ | CodeTrans-MT-TF-Large | 18.94 | 21.42 | 18.77 | 26.20 | 14.19 | 18.83 |
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+ | State of the art | 19.06 | 17.65 | 18.07 | 25.16 | 12.16 | 14.90 |
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  > Created by [Ahmed Elnaggar](https://twitter.com/Elnaggar_AI) | [LinkedIn](https://www.linkedin.com/in/prof-ahmed-elnaggar/) and Wei Ding | [LinkedIn](https://www.linkedin.com/in/wei-ding-92561270/)