End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.916
+      value: 0.9125
     - name: F1
       type: f1
-      value: 0.9174852652259332
+      value: 0.9144254278728606
 ---
 
 <!-- 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: 0.2650
-- Accuracy: 0.916
-- F1: 0.9175
+- Loss: 0.2616
+- Accuracy: 0.9125
+- F1: 0.9144
 
 ## Model description
 

runs/Dec03_19-16-49_9209831096ef/events.out.tfevents.1701631840.9209831096ef.3130.1

@@ -0,0 +1,3 @@
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+oid sha256:9a32e39a2e8a6e56edb3402d0afb158d7fde28b78b7ac1ff54acaaaf41339830
+size 457