End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.908
+      value: 0.9125
     - name: F1
       type: f1
-      value: 0.9092702169625247
+      value: 0.9145090376160234
 ---
 
 <!-- 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: 0.2313
-- Accuracy: 0.908
-- F1: 0.9093
+- Loss: 0.2359
+- Accuracy: 0.9125
+- F1: 0.9145
 
 ## Model description
 

runs/Dec05_16-17-59_c13f6edac5e9/events.out.tfevents.1701793526.c13f6edac5e9.201.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4ac65f4dac275f870b48f4ae5ecd0472c5b73c479ccff82ff87f42bb8f1bc16
+size 457