deep-learning-analytics
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wikihow-t5-small

Summarization Transformers PyTorch

English t5 text2text-generation wikihow t5-small lm-head seq2seq pipeline:summarization Inference Endpoints text-generation-inference

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system HF staff commited on Sep 9, 2020

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@@ -50,7 +50,7 @@ Wikihow T5-small
 ## Model description
 This is a T5-small model trained on Wikihow All data set. The model was trained for 3 epochs using a batch size of 16 and learning rate of 3e-4. Max_input_lngth is set as 512 and max_output_length is 150. Model attained a Rouge1 score of 31.2 and RougeL score of 24.5.
-We have written a blog post that covers the training procedure. Please find it here.
 ## Usage

 ## Model description
 This is a T5-small model trained on Wikihow All data set. The model was trained for 3 epochs using a batch size of 16 and learning rate of 3e-4. Max_input_lngth is set as 512 and max_output_length is 150. Model attained a Rouge1 score of 31.2 and RougeL score of 24.5.
+We have written a blog post that covers the training procedure. Please find it [here](https://medium.com/@priya.dwivedi/fine-tuning-a-t5-transformer-for-any-summarization-task-82334c64c81).
 ## Usage