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README.md

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+ # `cardiffnlp/roberta-base-tweet-sentiment-en`
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) 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 |            70.8 |                70.8 |                   70.8 |           70.12 |                70.8 |                   70.7 |            70.8 |
+
+Check the result file [here](https://huggingface.co/cardiffnlp/roberta-base-tweet-sentiment-en/raw/main/eval.json).

eval.json

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+{"eval_loss": 0.9192880988121033, "eval_f1_micro": 0.7080459770114943, "eval_recall_micro": 0.7080459770114943, "eval_precision_micro": 0.7080459770114943, "eval_f1_macro": 0.7011585684240534, "eval_recall_macro": 0.7080459770114943, "eval_precision_macro": 0.7069535022331945, "eval_accuracy": 0.7080459770114943, "eval_runtime": 7.0172, "eval_samples_per_second": 123.981, "eval_steps_per_second": 7.838}