We find your model to be a great base-model

#3
by eladven - opened
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  1. README.md +5 -5
README.md CHANGED
@@ -51,17 +51,17 @@ output = model(encoded_input)
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  ```
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  ## Evaluation results
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- Evaluation on 36 dataset using ibm/ColD-Fusion-itr13-seed2 as a base model, yield average score of 78.72.
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- According to [website](https://ibm.github.io/model-recycling/), this is the 1th best model for roberta-base models (updated to 11/12/2022)
 
 
 
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  Results:
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  | 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 |
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  |---------------:|----------:|-----------------------:|--------:|--------:|--------:|-------:|-------:|----------:|--------:|-----------------------:|-------:|--------:|--------:|--------:|----------:|-----------------:|-------:|--------:|------------------:|--------:|--------:|------------:|--------:|--------------:|------------:|-----------------:|-------------------:|----------------:|-----------------:|---------------------:|---------------------:|--------:|--------:|--------:|----------------:|
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  | 86.3648 | 89.3 | 66.72 | 53.0937 | 82.0183 | 89.2857 | 83.605 | 73 | 77.4667 | 91.0423 | 87.3 | 93.868 | 73.1421 | 87.3881 | 87.7451 | 63.6757 | 88.4615 | 92.678 | 91.0809 | 91.4634 | 83.3935 | 95.2982 | 58.1448 | 91.6334 | 97 | 91 | 44.95 | 83.0401 | 52.5589 | 77.0408 | 86.0465 | 69.7818 | 70.0627 | 49.2958 | 63.4615 | 72.5667 |
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  ### BibTeX entry and citation info
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  ```bibtex
 
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  ```
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  ## Evaluation results
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+ ## [Model Recycling](https://ibm.github.io/model-recycling/)
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+
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+ Evaluation on 36 datasets using ibm/ColD-Fusion-itr13-seed2 as a base model, yields average score of 78.72 in comparison to 76.22 by roberta-base.
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+ Overall ranking: top 1 model among roberta-base models (updated to 12/12/2022)
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  Results:
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  | 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 |
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  |---------------:|----------:|-----------------------:|--------:|--------:|--------:|-------:|-------:|----------:|--------:|-----------------------:|-------:|--------:|--------:|--------:|----------:|-----------------:|-------:|--------:|------------------:|--------:|--------:|------------:|--------:|--------------:|------------:|-----------------:|-------------------:|----------------:|-----------------:|---------------------:|---------------------:|--------:|--------:|--------:|----------------:|
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  | 86.3648 | 89.3 | 66.72 | 53.0937 | 82.0183 | 89.2857 | 83.605 | 73 | 77.4667 | 91.0423 | 87.3 | 93.868 | 73.1421 | 87.3881 | 87.7451 | 63.6757 | 88.4615 | 92.678 | 91.0809 | 91.4634 | 83.3935 | 95.2982 | 58.1448 | 91.6334 | 97 | 91 | 44.95 | 83.0401 | 52.5589 | 77.0408 | 86.0465 | 69.7818 | 70.0627 | 49.2958 | 63.4615 | 72.5667 |
 
 
 
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  ### BibTeX entry and citation info
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  ```bibtex