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@@ -12,6 +12,22 @@ base_model: meta-llama/Llama-2-7b-chat-hf
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  ## Model Details
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  ### Model Description
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <!-- Provide a longer summary of what this model is. -->
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  ## Model Details
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  ### Model Description
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+ 이 λͺ¨λΈμ€ NSMC(Naver Sentiment Movie Corpus) 데이터에 λŒ€ν•œ meta-llama/Llama-2-7b-chat-hf λͺ¨λΈμ˜ λ―Έμ„Έ νŠœλ‹μ„ 기반으둜 ν•©λ‹ˆλ‹€.
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+ **λͺ©ν‘œ**
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+ - μ˜ν™” 리뷰 ν…μŠ€νŠΈλ₯Ό ν”„λ‘¬ν”„νŠΈμ— ν¬ν•¨ν•˜μ—¬ λͺ¨λΈμ— μž…λ ₯ν•˜λ©΄ '긍정' λ˜λŠ” 'λΆ€μ •'이라고 μ˜ˆμΈ‘ν•˜λŠ” ν…μŠ€νŠΈλ₯Ό 직접 μƒμ„±ν•˜λŠ” κ²ƒμž…λ‹ˆλ‹€.
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+
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+ **μš”κ±΄**
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+ - NSMC의 train μŠ€ν”Œλ¦Ώ μ•žμͺ½ 2,000개 μ΄μƒμ˜ μƒ˜ν”Œμ„ ν•™μŠ΅μ— μ‚¬μš©ν–ˆμŠ΅λ‹ˆλ‹€.
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+ - ν…ŒμŠ€νŠΈλŠ” test μŠ€ν”Œλ¦Ώ μ•žμͺ½ 1,000개의 μƒ˜ν”Œλ§Œμ„ μ‚¬μš©ν•˜μ—¬ μΈ‘μ •ν–ˆμŠ΅λ‹ˆλ‹€.
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+ -
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+ ## Accuracy : 90.10%
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+ | | TP | TN |
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+ |---------|------|--------|
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+ | **PP** | 458 | 50.000 |
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+ | **PN** | 49 | 443.000|
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+ | **Accuracy** | - | 0.901 |
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  <!-- Provide a longer summary of what this model is. -->
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