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README.md

@@ -21,9 +21,9 @@ widget:
 ---
 
 
-# FinanceSentimentPL-fast
+# Finance Sentiment PL (fast)
 
-FinanceSentimentPL-fast is a [distiluse](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1)-based model for analyzing sentiment of Polish financial news. It was trained on the translated version of [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (20014) for 10 epochs on single RTX3090 gpu. 
+Finance Sentiment PL (fast) is a [distiluse](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1)-based model for analyzing sentiment of Polish financial news. It was trained on the translated version of [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (20014) for 10 epochs on single RTX3090 gpu. 
 
 The model will give you a three labels: positive, negative and neutral.
 
@@ -34,7 +34,7 @@ You can use this model directly with a pipeline for sentiment-analysis:
 ```python
 from transformers import pipeline
 
-nlp = pipeline("sentiment-analysis", model="bardsai/FinanceSentimentPL-fast")
+nlp = pipeline("sentiment-analysis", model="bardsai/finance-sentiment-pl-fast")
 nlp("Sprzedaż netto wzrosła o 30% do 36 mln EUR.")
 ```
 ```bash
@@ -53,6 +53,7 @@ nlp("Sprzedaż netto wzrosła o 30% do 36 mln EUR.")
 (The performance was evaluated on RTX 3090 gpu)
 
 ## Changelog
+- 2022-12-01: Rename the model to finance-sentiment-pl-base
 - 2022-11-15: Initial release
 
 ## About bards.ai