llama-2-7b-chat-hf 를 주문 문장 이해에 미세 튜닝

## 테스트 데이터에 대한 분류 결과 리포트

@ **모델 평가 결과**

정확도 : 0.866

정밀도 : 0.874

재현율 : 0.8602

F1 점수 : 0.8670

Result Matrix

  |  | TP | TN |
|----------|----------|----------|
| PP | 437 | 63 |
| PN | 71 | 429 |



@ **결과 분석**

정확도는 0.866으로 나타났다.

그 중에서 실제 정답은 긍정이지만 부정으로 예측하는 수(71)가 실제 부정인데 예측 긍정(63)으로 판단하는 경우보다 더 많았다.


---
library_name: peft
base_model: KT-AI/midm-bitext-S-7B-inst-v1
---

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## 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