README.md

 # `vocabtrimmer/xlm-v-base-trimmed-ar-30000-tweet-sentiment-ar`
This model is a fine-tuned version of [/home/asahi/lm-vocab-trimmer/ckpts/xlm-v-base-trimmed-ar-30000](https://huggingface.co//home/asahi/lm-vocab-trimmer/ckpts/xlm-v-base-trimmed-ar-30000) 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 |           60.69 |               60.69 |                  60.69 |           59.86 |               60.69 |                  59.88 |           60.69 |

Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-ar-30000-tweet-sentiment-ar/raw/main/eval.json).