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README.md

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+ # `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).

eval.json

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+{"eval_loss": 0.8144625425338745, "eval_f1_micro": 0.6482758620689655, "eval_recall_micro": 0.6482758620689655, "eval_precision_micro": 0.6482758620689655, "eval_f1_macro": 0.6456424801176116, "eval_recall_macro": 0.6482758620689655, "eval_precision_macro": 0.6534508268433659, "eval_accuracy": 0.6482758620689655, "eval_runtime": 2.3636, "eval_samples_per_second": 368.084, "eval_steps_per_second": 46.116}