
T5-base model for text summarization finetuned on subset of amazon reviews for english language.

## Rouge scores
- Rouge 1 : 0.5019
- Rouge 2 : 0.4226
- Rouge L : 0.4877
- Rouge Lsum : 0.4877
{"language": ["en"], "license": "apache-2.0", "tags": ["summarization"], "datasets": ["amazon_reviews_multi"]}
transformers pytorch t5 text2text-generation summarization en dataset:amazon_reviews_multi license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #summarization #en #dataset-amazon_reviews_multi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


T5-base model for text summarization finetuned on subset of amazon reviews for english language.

## Rouge scores
- Rouge 1 : 0.5019
- Rouge 2 : 0.4226
- Rouge L : 0.4877
- Rouge Lsum : 0.4877
## Rouge scores
- Rouge 1 : 0.5019
- Rouge 2 : 0.4226
- Rouge L : 0.4877
- Rouge Lsum : 0.4877
TAGS
#transformers #pytorch #t5 #text2text-generation #summarization #en #dataset-amazon_reviews_multi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 ## Rouge scores
- Rouge 1 : 0.5019
- Rouge 2 : 0.4226
- Rouge L : 0.4877
- Rouge Lsum : 0.4877
passage: TAGS
#transformers #pytorch #t5 #text2text-generation #summarization #en #dataset-amazon_reviews_multi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
## Rouge scores
- Rouge 1 : 0.5019
- Rouge 2 : 0.4226
- Rouge L : 0.4877
- Rouge Lsum : 0.4877