End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8996666666666666
+      value: 0.9231
     - name: F1
       type: f1
-      value: 0.902683478823149
+      value: 0.9233223651410908
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5164
-- Accuracy: 0.8997
-- F1: 0.9027
+- Loss: 0.2446
+- Accuracy: 0.9231
+- F1: 0.9233
 
 ## Model description
 

runs/Nov17_00-08-44_85cb2d36d9f9/events.out.tfevents.1700180888.85cb2d36d9f9.283.8

@@ -0,0 +1,3 @@
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+oid sha256:a100d90029ebfd40ccbb546428f96ea6ccb370b47f302388507fbd36f6d19ba0
+size 457