 # `cardiffnlp/mbert-base-tweet-sentiment-ar`
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the 
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (arabic).
Following metrics are computed on the `test` split of 
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/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](https://huggingface.co/cardiffnlp/mbert-base-tweet-sentiment-ar/raw/main/eval.json).
{}
transformers pytorch bert text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

'cardiffnlp/mbert-base-tweet-sentiment-ar'
==========================================


This 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).



Check the result file here.



TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
