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README.md
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# `cardiffnlp/xlm-v-base-tweet-sentiment-es`
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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) (spanish).
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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)(spanish).
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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 | 63.22 | 63.22 | 63.22 | 60.73 | 63.22 | 62.15 | 63.22 |
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Check the result file [here](https://huggingface.co/cardiffnlp/xlm-v-base-tweet-sentiment-es/raw/main/eval.json).
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eval.json
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{"eval_loss": 0.8778417706489563, "eval_f1_micro": 0.632183908045977, "eval_recall_micro": 0.632183908045977, "eval_precision_micro": 0.632183908045977, "eval_f1_macro": 0.6072667396196808, "eval_recall_macro": 0.632183908045977, "eval_precision_macro": 0.621456253358094, "eval_accuracy": 0.632183908045977, "eval_runtime": 5.0521, "eval_samples_per_second": 172.205, "eval_steps_per_second": 21.575}
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