| # `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). |