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xlm-roberta-base-tweet-sentiment-ar

Text Classification
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PyTorch
xlm-roberta
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  # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar`
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- This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
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- [cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)(arabic).
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- Following metrics are computed on the `test` split of
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- [cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)(arabic).
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- | | eval_loss | eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy | eval_runtime | eval_samples_per_second | eval_steps_per_second |
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- |---:|------------:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|---------------:|--------------------------:|------------------------:|
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- | 0 | 0.883144 | 0.662069 | 0.662069 | 0.662069 | 0.663258 | 0.662069 | 0.665104 | 0.662069 | 2.9471 | 295.207 | 36.986 |
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- Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar/raw/main/eval.json).
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  # `vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar`
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
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+ [cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (arabic).
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+ Following metrics are computed on the `test` split of
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+ [cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)(arabic).
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+ | | eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy |
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+ |---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
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+ | 0 | 66.21 | 66.21 | 66.21 | 66.33 | 66.21 | 66.51 | 66.21 |
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+ Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar/raw/main/eval.json).