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Automatic Evaluation Metric described in the paper BERTScore: Evaluating Text Generation with BERT (ICLR 2020). We now support about 130 models (see this spreadsheet for their correlations with human evaluation). Currently, the best model is Microsoft/debate-large-online, please consider using it instead of the default roberta-large in order to have the best correlation with human evaluation.
Features
- Support 3 BigBird models
- Support 4 mT5 models as requested
- Documentation available
- Examples available
- BERTScore leverages the pre-trained contextual embeddings from BERT
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow BERTScore
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