README.md

metadata

license: other
datasets:
  - nsmc
language:
  - ko

Korean GPT Bot Sentiment Classification (ko-gpt-bot-sc)

Method

• Promt-Tuning/Prefix-tuning/Soft Embedding

Metrics

	precision	recall	f1-score	support
긍정	0.92549	0.944	0.934653	500
부정	0.942857	0.924	0.933333	500
accuracy	0.934	0.934	0.934	0.934
macro avg	0.934174	0.934	0.933993	1000
weighted avg	0.934174	0.934	0.933993	1000

References

• Prompt Tuning: The Power of Scale for Parameter-Efficient Prompt Tuning
• Prompt Tuning v2: P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks