hw-midm-7B-nsmc

환경 설정

• 학습 데이터: NSMC

하이퍼파라미터 및 설정

• 미니배치 크기: 1
• 시퀀스 길이: 512
• 학습률: 5e-4
• 에폭 수: 1

Train & Test Dataset 생성

Accuracy: 0.910

Precision: 0.941 Recall: 0.878 F1 Score: 0.908

Classification Report:

           precision    recall  f1-score   
Negative       0.88      0.85      0.87       
Positive       0.86      0.89      0.88       
accuracy                           0.87 

Confusion Matrix

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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