hw-llama-2-7B-nsmc

어려웠던 점: 학습을 시키기위해 System과 리뷰문장, 분류에 예시들을 적어놓았지만 학습이 제대로 되지않았다..

instruction_prompt_template = """

###System;너는 사용자의 리뷰를 긍정,부정 중 하나로만 판단해야 한다.

### 리뷰 문장: 진짜 재밌다 ### 분류 결과: 긍정

###System;너는 사용자의 리뷰를 긍정,부정 중 하나로만 판단해야 한다.

### 리뷰 문장: 나 잘 뻔 했잖아 영화보고 지루해서 ### 분류 결과: 부정

###System;너는 사용자의 리뷰를 긍정,부정 중 하나로만 판단해야 한다.

### 리뷰 문장: 어떻게 이렇게까지 재미없을 수가 있지 ### 분류 결과: 부정

###System;너는 사용자의 리뷰를 긍정,부정 중 하나로만 판단해야 한다.

### 리뷰 문장: 열린결말 영화 좋아하는데 이 영화가 열린결말이야 ### 분류 결과: 긍정

위에처럼 학습을 시켰고, 실험 문장들은 아래와 같다.

evaluation_queries = [

"이게 재밌다는 사람들이 이해가 안가"

"너무 흥미로워요 시즌2도 나왔으면 좋겠어요"

"이게 무슨 영화야 지루하기짝이없네"

"배울점이 많은 영화네요"

]

또한 실험 결과는 아래와 같다.

- 분석 결과 0: 음식명:닭볶음탕,옵션:중,수량:한그릇

- 분석 결과 1: 음식명:냉치찜,옵션:대,수량:한판

어디를 고치고 어디를 학습시켜야할지 잘 모르겠다...

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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