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README.md
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# `vocabtrimmer/xlm-v-base-trimmed-pt-tweet-sentiment-pt`
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This model is a fine-tuned version of [/home/c.c2042013/lm-vocab-trimmer/ckpts/xlm-v-base-trimmed-pt](https://huggingface.co//home/c.c2042013/lm-vocab-trimmer/ckpts/xlm-v-base-trimmed-pt) on the
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[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (portuguese).
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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)(portuguese).
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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 | 58.62 | 58.62 | 58.62 | 52.84 | 58.62 | 57.64 | 58.62 |
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Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-pt-tweet-sentiment-pt/raw/main/eval.json).
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eval.json
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{"eval_loss": 0.8505100011825562, "eval_f1_micro": 0.5862068965517241, "eval_recall_micro": 0.5862068965517241, "eval_precision_micro": 0.5862068965517241, "eval_f1_macro": 0.5283750398622974, "eval_recall_macro": 0.5862068965517241, "eval_precision_macro": 0.5763674135782826, "eval_accuracy": 0.5862068965517241, "eval_runtime": 8.8787, "eval_samples_per_second": 97.987, "eval_steps_per_second": 6.195}
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