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FRED-T5-large

Text2Text Generation

Inference Endpoints

text-generation-inference

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sberbank-ai commited on Feb 28, 2023

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@@ -19,7 +19,7 @@ Bbpe tokenizer. 50257 + special tokens 107. Prefix tokens: '\<LM\>', '\<SC1>',..
 First half of the time model trained on the small part of all dataset (1%,3GB) and without prefixes in each task.
 For RSG, we trained as described in the T5 paper. First, we trained multitask for all tasks. Then we took the best checkpoint for the task and trained it further.
-RSG submit here https://russiansuperglue.com/login/submit_info/1936
 Total training time was around 35 days on 160 V100 GPUs.

 First half of the time model trained on the small part of all dataset (1%,3GB) and without prefixes in each task.
 For RSG, we trained as described in the T5 paper. First, we trained multitask for all tasks. Then we took the best checkpoint for the task and trained it further.
+RSG submit here https://russiansuperglue.com/login/submit_info/2060
 Total training time was around 35 days on 160 V100 GPUs.