 # `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).
{}
transformers pytorch roberta text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 

'cardiffnlp/roberta-base-tweet-sentiment-en'
============================================


This model is a fine-tuned version of roberta-base on the
cardiffnlp/tweet\_sentiment\_multilingual (english).
Following metrics are computed on the 'test' split of
cardiffnlp/tweet\_sentiment\_multilingual(english).



Check the result file here.



TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 
