Evaluation results for SetFit/deberta-v3-base__sst2__all-train model as a base model for other tasks

#1
by eladven - opened

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 3rd among all tested models for the microsoft/deberta-v3-base architecture as of 09/01/2023.

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
[email protected]
IBM Research AI

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