hw-midm-7B-nsmc

NSMC 데이터에 대해 KT-AI/midm-bitext-S-7B-inst-v1 미세튜닝

종속적인 필요 내용

• huggingface 계정 설정
• 로깅을 위한 wandb

Train & Test Dataset 생성

train 스플릿 앞쪽 2500개 샘플을 학습에 사용합니다. test 스플릿 앞쪽 1000개 샘플을 테스트에 사용합니다.

Classification Report

Accuracy: 0.92

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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