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# `vocabtrimmer/xlm-roberta-base-trimmed-en-15000-tweet-sentiment-en`
This model is a fine-tuned version of [/home/asahiushio/Projects/lm-vocab-trimmer/ckpts/xlm-roberta-base-trimmed-en-15000](https://huggingface.co//home/asahiushio/Projects/lm-vocab-trimmer/ckpts/xlm-roberta-base-trimmed-en-15000) on the
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (english).
Following metrics are computed on the `test` split of
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)(english).
| | eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy |
|---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
| 0 | 67.59 | 67.59 | 67.59 | 67.69 | 67.59 | 68.04 | 67.59 |
Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-15000-tweet-sentiment-en/raw/main/eval.json). |