qg_T5_nq / README.md
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Evaluation results for RERobbins/qg_T5_nq model as a base model for other tasks
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RERobbins/qg_T5_nq model

This model is based on google/t5-v1_1-base pretrained model.

Model Recycling

Evaluation on 36 datasets using RERobbins/qg_T5_nq as a base model yields average score of 77.20 in comparison to 68.82 by google/t5-v1_1-base.

The model is ranked 2nd among all tested models for the google/t5-v1_1-base architecture as of 18/01/2023 Results:

20_newsgroup ag_news amazon_reviews_multi anli boolq cb cola copa dbpedia esnli financial_phrasebank imdb isear mnli mrpc multirc poem_sentiment qnli qqp rotten_tomatoes rte sst2 sst_5bins stsb trec_coarse trec_fine tweet_ev_emoji tweet_ev_emotion tweet_ev_hate tweet_ev_irony tweet_ev_offensive tweet_ev_sentiment wic wnli wsc yahoo_answers
87.0685 89.7 66.78 51.125 77.9205 85.7143 79.5781 49 77.4 90.8897 87.4 93.788 73.6636 87.3881 87.7451 61.5099 84.6154 93.0441 88.2958 89.6811 75.4513 94.2661 56.6063 87.3921 98 92 47.02 82.1956 53.6027 77.2959 84.6512 71.4425 69.4357 53.5211 60.5769 73.3667

For more information, see: Model Recycling