| # `vocabtrimmer/xlm-v-base-trimmed-de-5000-tweet-sentiment-de` | |
| This model is a fine-tuned version of [/home/asahi/lm-vocab-trimmer/ckpts/xlm-v-base-trimmed-de-5000](https://huggingface.co//home/asahi/lm-vocab-trimmer/ckpts/xlm-v-base-trimmed-de-5000) on the | |
| [cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (german). | |
| Following metrics are computed on the `test` split of | |
| [cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)(german). | |
| | | eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy | | |
| |---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:| | |
| | 0 | 62.76 | 62.76 | 62.76 | 62.88 | 62.76 | 63.09 | 62.76 | | |
| Check the result file [here](https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-de-5000-tweet-sentiment-de/raw/main/eval.json). |