Update README.md

README.md

@@ -4,4 +4,21 @@ datasets:
 metrics:
 - accuracy
 - f1
----
+base_model:
+- nlpaueb/legal-bert-base-uncased
+---
+LegalBert Base uncased model trained for sequence classification on whether a ToS is FAIR or UNFAIR
+We do not care about the unfairness type
+
+    {
+      "epoch": 0.999043062200957,
+      "eval_accuracy": 0.8990216209687161,
+      "eval_f1": 0.9094800950901479,
+      "eval_loss": 0.2566342055797577,
+      "eval_precision": 0.9323265263688336,
+      "eval_recall": 0.8990216209687161,
+      "eval_runtime": 895.4955,
+      "eval_samples_per_second": 9.245,
+      "eval_steps_per_second": 0.578,
+      "step": 261
+    }