End of training

README.md

@@ -1,10 +1,10 @@
 ---
-base_model: google-bert/bert-base-uncased
 license: apache-2.0
-metrics:
-- accuracy
+base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: phishing-IBM
   results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0276
-- Accuracy: 0.9951
+- Loss: 0.0335
+- Accuracy: 0.9948
 
 ## Model description
 

runs/Aug31_17-53-34_abb11e2dbc86/events.out.tfevents.1725128323.abb11e2dbc86.36.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:117e5de9da13c679a206bf0ed69453e24830c102ebe4de44916e7af536b718d2
+size 411