End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.87
     - name: F1
       type: f1
-      value: 0.8627450980392156
+      value: 0.8729641693811074
 ---
 
 <!-- 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: 0.3548
-- Accuracy: 0.86
-- F1: 0.8627
+- Loss: 0.3356
+- Accuracy: 0.87
+- F1: 0.8730
 
 ## Model description
 

runs/Dec15_04-24-32_0cf7f3e97775/events.out.tfevents.1702614622.0cf7f3e97775.5233.1

@@ -0,0 +1,3 @@
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+oid sha256:96c357790ac3c842b6e52b0b6f16ec1de46c863c717e7c88e795086437f280e9
+size 457