Update README.md

README.md

@@ -20,7 +20,6 @@ BASE_MODEL = "TheBloke/vicuna-7B-1.1-HF"
 LORA_WEIGHTS = "RinInori/vicuna_finetuned_6_sentiments" 
 
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 Vicuna is created by fine-tuning a LLaMA base model using approximately 70K user-shared conversations gathered from ShareGPT.com with public APIs.
 To find more about Vicuna here: https://lmsys.org/blog/2023-03-30-vicuna/
 
@@ -32,16 +31,15 @@ LoRA = Low-Rank Adaptation of Large Language Models is a training method that ac
 It adds pairs of rank-decomposition weight matrices (called update matrices) to existing weights, and only trains those newly added weights.
 
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 ### To RUN APP: https://huggingface.co/spaces/RinInori/vicuna_finetuned_6_sentiments
 
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 ![Image description](https://github.com/hennypurwadi/Vicuna_finetune_sentiment_analysis/blob/main/vicuna_result_correct.jpg?raw=true)
 
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 ### Model Hub: https://huggingface.co/RinInori/vicuna_finetuned_6_sentimentsis/blob/main/images/SaveModel_Tokenizer_To_Huggingface.jpg?raw=true)
 
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 Ref: https://www.youtube.com/watch?v=Us5ZFp16PaU 
 
 Ref: https://arxiv.org/abs/2106.09685