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README.md

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 Twitter emotion PL (fast) is a model based on [distiluse](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1) for analyzing emotion of Polish twitter posts. It was trained on the translated version of [TweetEval](https://www.researchgate.net/publication/347233661_TweetEval_Unified_Benchmark_and_Comparative_Evaluation_for_Tweet_Classification) by Barbieri et al., 2020 for 10 epochs on single RTX3090 gpu.
 
-The model will give you a three labels: positive, negative and neutral.
+The model will give you a four labels: joy, optimism, sadness and anger.
 
 ## How to use