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hw-midm-7B-nsmc – AI Model by euneeei | AlphaNeural AI
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euneeei/hw-midm-7B-nsmc
Training Data
한국어로 된 네이버 영화 리뷰 데이터셋입니다.
train dataset : 3000개
test dataset : 1000개
Factors
learning_rate : 1e-4-> 2e-4 max_steps=500 설정 warmup_steps=100 설정
[More Information Needed]
Metrics
precision
recall
f1-score
support
negative
0.87
0.95
091
492
positive
0.94
0.87
0.90
508
accuracy
0.91
1000
macro avg
0.91
0.91
0.91
1000
weighted avg
0.91
0.91
0.91
1000
confusion metrics
[[ 466, 26 ]
[68, 440]]
[More Information Needed]
Results
정확도 0.51 -> 0.91로 높아졌습니다
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
