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README.md
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# `
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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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| | 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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Check the result file [here](https://huggingface.co/
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# `cardiffnlp/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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| | 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 | 61.03 | 61.03 | 61.03 | 60.92 | 61.03 | 60.86 | 61.03 |
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Check the result file [here](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-ar/raw/main/eval.json).
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eval.json
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{"eval_loss": 0.
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{"eval_loss": 0.9044893980026245, "eval_f1_micro": 0.6103448275862069, "eval_recall_micro": 0.6103448275862069, "eval_precision_micro": 0.6103448275862069, "eval_f1_macro": 0.6092141376759197, "eval_recall_macro": 0.610344827586207, "eval_precision_macro": 0.608633542594701, "eval_accuracy": 0.6103448275862069, "eval_runtime": 22.5557, "eval_samples_per_second": 38.571, "eval_steps_per_second": 2.438}
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