Closed callanwu closed 1 year ago
If I only have approximately 2,000 labeled training samples containing values of 0 and 1, how can I effectively fine-tune a Word2Vec model based "shibing624/text2vec-base-chinese" ? Can it still yield useful results?
I think it may not better than result of not fine-tuning
right, it got worse results after fine-tuning.
thanks for yr reply!
welcome~
Describe the Question
If I only have approximately 2,000 labeled training samples containing values of 0 and 1, how can I effectively fine-tune a Word2Vec model based "shibing624/text2vec-base-chinese" ? Can it still yield useful results?