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cardiffnlp/mbert-base-tweet-sentiment-ar
mbert-base-tweet-sentiment-ar is a text classification model from cardiffnlp. Use it when you need a label for a piece of text. It is set up for transformers.
This model is a fine-tuned version of bert-base-multilingual-cased on the cardiffnlp/tweetsentimentmultilingual (arabic). Following metrics are computed on the test split of cardiffnlp/tweetsentimentmultilingual(arabic).
Downloads · 30 days
10
3% of all-time downloads
All-time downloads
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From the Hugging Face model README
cardiffnlp/mbert-base-tweet-sentiment-arThis model is a fine-tuned version of bert-base-multilingual-cased on the
cardiffnlp/tweet_sentiment_multilingual (arabic).
Following metrics are computed on the test split of
cardiffnlp/tweet_sentiment_multilingual(arabic).
| eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy | |
|---|---|---|---|---|---|---|---|
| 0 | 56.09 | 56.09 | 56.09 | 56.29 | 56.09 | 57.36 | 56.09 |
Check the result file here.