Create README.md

README.md

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+---
+datasets:
+- nguha/legalbench
+---
+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.
+Evaluation results of each fold:
+Model 0 - Accuracy: 0.9795918367346939, Precision: 1.0, Recall: 0.9591836734693877, F1 Score: 0.9791666666666666
+Model 1 - Accuracy: 0.9897959183673469, Precision: 0.98, Recall: 1.0, F1 Score: 0.98989898989899
+Model 2 - Accuracy: 0.9897959183673469, Precision: 1.0, Recall: 0.9795918367346939, F1 Score: 0.9896907216494846
+Model 3 - Accuracy: 0.9897959183673469, Precision: 1.0, Recall: 0.9795918367346939, F1 Score: 0.9896907216494846
+Model 4 - Accuracy: 0.9795918367346939, Precision: 0.9607843137254902, Recall: 1.0, F1 Score: 0.98