Upload tokenizer

README.md

@@ -1,20 +1,20 @@
 ---
-library_name: transformers
-license: mit
 base_model: microsoft/mdeberta-v3-base
-tags:
-- generated_from_trainer
 datasets:
 - tweet_sentiment_multilingual
+library_name: transformers
+license: mit
 metrics:
 - accuracy
 - f1
+tags:
+- generated_from_trainer
 model-index:
 - name: scenario-NON-KD-SCR-COPY-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: tweet_sentiment_multilingual
       type: tweet_sentiment_multilingual
@@ -22,12 +22,12 @@ model-index:
       split: validation
       args: all
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.4965277777777778
-    - name: F1
-      type: f1
+      name: Accuracy
+    - type: f1
       value: 0.49536382507680443
+      name: F1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d5249d92f8d658ed3d19f52a5885b7abbf7f82a90cc18a2b6c7166af54a884f6
-size 16350862
+oid sha256:9ddbe35b768b22d6cd0d61a0a88ea3a188b7c00bbb7b825f9f247cf0b79c2365
+size 16350764