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Uses

Evaluation

hf (pretrained=T3Q-LLM/T3Q-LLM3-NC-v1.0), limit: None, provide_description: False, num_fewshot: 0, batch_size: None

Task Version Metric Value Stderr
kobest_boolq 0 acc 0.6781 ± 0.0125
macro_f1 0.6514 ± 0.0131
kobest_copa 0 acc 0.6820 ± 0.0147
macro_f1 0.6816 ± 0.0147
kobest_hellaswag 0 acc 0.4300 ± 0.0222
acc_norm 0.5360 ± 0.0223
macro_f1 0.4286 ± 0.0221
kobest_sentineg 0 acc 0.5819 ± 0.0248
macro_f1 0.5020 ± 0.0252

hf-causal-experimental (pretrained=beomi/Llama-3-Open-Ko-8B-Instruct-preview,use_accelerate=true,trust_remote_code=true), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8

Task Version Metric Value Stderr
kobest_boolq 0 acc 0.6766 ± 0.0125
macro_f1 0.6493 ± 0.0131
kobest_copa 0 acc 0.6850 ± 0.0147
macro_f1 0.6846 ± 0.0147
kobest_hellaswag 0 acc 0.4280 ± 0.0221
acc_norm 0.5380 ± 0.0223
macro_f1 0.4265 ± 0.0221
kobest_sentineg 0 acc 0.5844 ± 0.0248
macro_f1 0.5085 ± 0.0253

hf-causal-experimental (pretrained=beomi/Llama-3-Open-Ko-8B,use_accelerate=true,trust_remote_code=true), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8

Task Version Metric Value Stderr
kobest_boolq 0 acc 0.5627 ± 0.0132
macro_f1 0.4764 ± 0.0130
kobest_copa 0 acc 0.7570 ± 0.0136
macro_f1 0.7565 ± 0.0136
kobest_hellaswag 0 acc 0.4780 ± 0.0224
acc_norm 0.5960 ± 0.0220
macro_f1 0.4740 ± 0.0223
kobest_sentineg 0 acc 0.7481 ± 0.0218
macro_f1 0.7424 ± 0.0222
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