End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8833333333333333
+      value: 0.88
     - name: F1
       type: f1
-      value: 0.8837209302325582
+      value: 0.8791946308724832
 ---
 
 <!-- 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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3372
-- Accuracy: 0.8833
-- F1: 0.8837
+- Loss: 0.3648
+- Accuracy: 0.88
+- F1: 0.8792
 
 ## Model description
 

model.safetensors

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