hw_llama_2_7B_nsmc

llama-2-7b-chat-hf 를 주문 문장 이해에 미세 튜닝

테스트 데이터에 대한 분류 결과 리포트

@ 모델 평가 결과

정확도 : 0.866

정밀도 : 0.874

재현율 : 0.8602

F1 점수 : 0.8670

Result Matrix

@ 결과 분석

정확도는 0.866으로 나타났다.

그 중에서 실제 정답은 긍정이지만 부정으로 예측하는 수(71)가 실제 부정인데 예측 긍정(63)으로 판단하는 경우보다 더 많았다.

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library_name: peft base_model: KT-AI/midm-bitext-S-7B-inst-v1

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Training procedure

The following bitsandbytes quantization config was used during training:

• quant_method: bitsandbytes
• load_in_8bit: False
• load_in_4bit: True
• llm_int8_threshold: 6.0
• llm_int8_skip_modules: None
• llm_int8_enable_fp32_cpu_offload: False
• llm_int8_has_fp16_weight: False
• bnb_4bit_quant_type: nf4
• bnb_4bit_use_double_quant: False
• bnb_4bit_compute_dtype: bfloat16

Framework versions

• PEFT 0.7.0