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Evaluation results for ffgcc/InfoCSE-bert-base model as a base model for other tasks
As part of a research effort to identify high quality models in Huggingface that can serve as base models for further finetuning, we evaluated this by finetuning on 36 datasets. The model ranks 1st among all tested models for the bert-base-uncased architecture as of 21/12/2022. To share this information with others in your model card, please add the following evaluation results to your README.md page. For more information please see https://ibm.github.io/model-recycling/ or contact me. Best regards, Elad Venezian eladv@il.ibm.com IBM Research AI5c95c32
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