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README.md

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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).

eval.json

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+{"eval_loss": 1.2809264659881592, "eval_f1_micro": 0.6758620689655173, "eval_recall_micro": 0.6758620689655173, "eval_precision_micro": 0.6758620689655173, "eval_f1_macro": 0.6769055529350992, "eval_recall_macro": 0.6758620689655173, "eval_precision_macro": 0.6804368625641276, "eval_accuracy": 0.6758620689655173, "eval_runtime": 2.3502, "eval_samples_per_second": 370.18, "eval_steps_per_second": 46.379}