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README.md

@@ -1,12 +1,12 @@
 ---
 license: cc-by-sa-4.0
-base_model: nlpaueb/legal-bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 - precision
 - recall
+base_model: nlpaueb/legal-bert-base-uncased
 model-index:
 - name: legal-bert-lora-no-grad
   results: []
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5803
-- Accuracy: 0.8234
-- Precision: 0.8234
-- Recall: 0.8234
+- Loss: 1.4787
+- Accuracy: 0.8273
+- Precision: 0.8270
+- Recall: 0.8273
 - Precision Macro: 0.7941
 - Recall Macro: 0.7774
 - Macro Fpr: 0.0157