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datasets: |
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- nguha/legalbench |
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These models were trained on cuad_audit_rights dataset from legalbench. There are 5 different models in the zipped folder representing the 5 different folds that the model was trained on. |
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Evaluation results of each fold: |
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Model 0 - Accuracy: 0.9795918367346939, Precision: 1.0, Recall: 0.9591836734693877, F1 Score: 0.9791666666666666 |
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Model 1 - Accuracy: 0.9897959183673469, Precision: 0.98, Recall: 1.0, F1 Score: 0.98989898989899 |
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Model 2 - Accuracy: 0.9897959183673469, Precision: 1.0, Recall: 0.9795918367346939, F1 Score: 0.9896907216494846 |
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Model 3 - Accuracy: 0.9897959183673469, Precision: 1.0, Recall: 0.9795918367346939, F1 Score: 0.9896907216494846 |
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Model 4 - Accuracy: 0.9795918367346939, Precision: 0.9607843137254902, Recall: 1.0, F1 Score: 0.98 |
