sentiment_ita

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.700
+      value: 0.6851851851851852
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [neuraly/bert-base-italian-cased-sentiment](https://huggingface.co/neuraly/bert-base-italian-cased-sentiment) on the tweet_sentiment_multilingual dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.4948
-- Accuracy: 0.700
+- Accuracy: 0.6852
 
 ## Model description
 

runs/Nov24_08-13-46_5aec582beaec/events.out.tfevents.1700813630.5aec582beaec.18218.0

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runs/Nov24_08-27-06_5aec582beaec/events.out.tfevents.1700814434.5aec582beaec.20036.0

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tokenizer.json

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+    "pad_token": "[PAD]"
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training_args.bin

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