| # `vocabtrimmer/xlm-roberta-base-trimmed-en-5000-tweet-sentiment-en` | |
| This model is a fine-tuned version of [/home/asahiushio/Projects/lm-vocab-trimmer/ckpts/xlm-roberta-base-trimmed-en-5000](https://huggingface.co//home/asahiushio/Projects/lm-vocab-trimmer/ckpts/xlm-roberta-base-trimmed-en-5000) 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 | 64.83 | 64.83 | 64.83 | 64.56 | 64.83 | 65.35 | 64.83 | | |
| Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-5000-tweet-sentiment-en/raw/main/eval.json). |