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README.md
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# `cardiffnlp/xlm-v-base-tweet-sentiment-de`
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This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the
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[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (german).
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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)(german).
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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 | 73.56 | 73.56 | 73.56 | 73.51 | 73.56 | 73.82 | 73.56 |
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Check the result file [here](https://huggingface.co/cardiffnlp/xlm-v-base-tweet-sentiment-de/raw/main/eval.json).
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eval.json
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{"eval_loss": 0.7530238628387451, "eval_f1_micro": 0.735632183908046, "eval_recall_micro": 0.735632183908046, "eval_precision_micro": 0.735632183908046, "eval_f1_macro": 0.735114391597795, "eval_recall_macro": 0.735632183908046, "eval_precision_macro": 0.7382154583648556, "eval_accuracy": 0.735632183908046, "eval_runtime": 2.2075, "eval_samples_per_second": 394.108, "eval_steps_per_second": 49.377}
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