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📢  I've tested the most recent google/Gemma-2-9b-it in Sentiment Analyis and the obtained results makes me shocked! 🤯 It end up becoming a king 👑 that showcase top-1 across all the models and categories in Target Sentiment Analysis (TSA) on non-english texts (🇷🇺). 
📢  I've tested the most recent google/Gemma-2-9b-it in Sentiment Analyis and the obtained results makes me shocked! 🤯 It end up becoming a king 👑 that showcase top-1 across all the models and categories in Target Sentiment Analysis (TSA) on non-english texts (🇷🇺). 
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That's impressive to say the least, it surpassed all the other models benchmarked before and within categories of 100B and below by F1(PN) and nearly touched GPT-4 by F1(PN0). Google research team did a great job! 👏 
That's impressive to say the least, it surpassed all the other models benchmarked before and within categories of 100B and below by F1(PN) and nearly touched GPT-4 by F1(PN0). Google research team did a great job! 👏 
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Model: 
Model: 
resource
https://huggingface.co/google/gemma-2-9b-it
model
google/gemma-2-9b-it
https://huggingface.co/google/gemma-2-9b-it
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Benchmark: 
Benchmark: 
link
https://github.com/nicolay-r/RuSentNE-LLM-Benchmark
https://github.com/nicolay-r/RuSentNE-LLM-Benchmark
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📢  I've tested the most recent google/Gemma-2-9b-it in Sentiment Analyis and the obtained results makes me shocked! 🤯 It end up becoming a king 👑 that showcase top-1 across all the models and categories in Target Sentiment Analysis (TSA) on non-english texts (🇷🇺). 

That's impressive to say the least, it surpassed all the other models benchmarked before and within categories of 100B and below by F1(PN) and nearly touched GPT-4 by F1(PN0). Google research team did a great job! 👏 

Model: https://huggingface.co/google/gemma-2-9b-it
Benchmark: https://github.com/nicolay-r/RuSentNE-LLM-Benchmark

