d0r1h
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led-base-ilc

text2text-generation

Inference Endpoints

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d0r1h commited on May 5, 2022

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@@ -37,7 +37,7 @@ When the model is used for summarizing ILC documents(10 samples), it achieves th
 | Model |            rouge1-f  |  rouge1-p  |  rouge2-f   |  rouge2-p  | rougeL-f   |  rougeL-p  |
 |:-----------:|:-----:|:-----:|:------:|:-----:|:------:|:-----:|
-| led-base-ilc      | **42** |  **47** | **22**  | **24** | **39**  | **44** |
 | led-base          | 3     |  39     | 1      | 21     | 3      | 37 |
 [This notebook](https://colab.research.google.com/github/d0r1h/Notebooks/blob/main/NLP/Summarization/led_base_ilc_summarization.ipynb) shows how *led* can effectively be used for downstream tasks such as summarization.

 | Model |            rouge1-f  |  rouge1-p  |  rouge2-f   |  rouge2-p  | rougeL-f   |  rougeL-p  |
 |:-----------:|:-----:|:-----:|:------:|:-----:|:------:|:-----:|
+| led-ilc      | **42** |  **47** | **22**  | **24** | **39**  | **44** |
 | led-base          | 3     |  39     | 1      | 21     | 3      | 37 |
 [This notebook](https://colab.research.google.com/github/d0r1h/Notebooks/blob/main/NLP/Summarization/led_base_ilc_summarization.ipynb) shows how *led* can effectively be used for downstream tasks such as summarization.