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@@ -14,23 +14,24 @@ pipeline_tag: text-generation
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  ### Model Description
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- NSMC 데이터에 λŒ€ν•΄ KT-AI/midm-bitext-S-7B-inst-v1 λ―Έμ„ΈνŠœλ‹
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-
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- λͺ©ν‘œ
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-
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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 예츑 ν…μŠ€νŠΈλ₯Ό 직접 생성
 
 
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- μš”κ±΄
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-
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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…ŒμŠ€νŠΈλŠ” test μŠ€ν”Œλ¦Ώ μ•žμͺ½ 1,000개의 μƒ˜ν”Œλ§Œ μΈ‘μ •ν•  것
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- ## Training Details
 
 
 
 
 
 
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- Training data: nsmc 'train' data 쀑 μƒμœ„ 2000개의 μƒ˜ν”Œ
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- Evaluation data: nsmc 'test' data 쀑 μƒμœ„ 1000개의 μƒ˜ν”Œ
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  #### Accuracy
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  ### Model Description
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+ - NSMC 데이터에 λŒ€ν•΄ KT-AI/midm-bitext-S-7B-inst-v1 λ―Έμ„ΈνŠœλ‹
 
 
 
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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 예츑 ν…μŠ€νŠΈλ₯Ό 직접 생성
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+ - NSMC의 train μŠ€ν”Œλ¦Ώ μƒμœ„ 2,000개 μ΄μƒμ˜ μƒ˜ν”Œμ„ ν•™μŠ΅μ— μ‚¬μš©
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+ - test μŠ€ν”Œλ¦Ώ μƒμœ„ 1,000개의 μƒ˜ν”Œλ§Œ μΈ‘μ •
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+ ## Training Results
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+ TrainOutput(
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+ global_step=300, training_loss=2.666887741088867,
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+ metrics={'train_runtime': 961.226,
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+ 'train_samples_per_second': 0.624,
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+ 'train_steps_per_second': 0.312,
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+ 'total_flos': 9315508499251200.0,
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+ 'train_loss': 2.666887741088867, 'epoch': 0.3})
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  #### Accuracy
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