mteb/amazon_massive_intent
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How to use warjiang/kev-4b-massive-zh with PEFT:
from peft import PeftModel
from transformers import AutoModel
base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base")
model = PeftModel.from_pretrained(base_model, "warjiang/kev-4b-massive-zh")在 jaredpalmer/kev-4b v1.0 基础上,用 MASSIVE zh-CN(60 个意图)train 集做 LoRA 微调。
Qwen/Qwen3.5-4B-Base@1001bb4d826a52d1f399e183466143f4da7b741bjaredpalmer/kev-4b@6cfce5c2fa4b4bd64026336ab649c5ca78857d52mteb/amazon_massive_intent / zh-CN @ 940fd47a| 指标 | 微调前 | 微调后 |
|---|---|---|
| Accuracy | 68.59% | 86.52% |
| Macro-F1 | 0.6740 | 0.8144 |
| NLL | 1.248 | 0.526 |
| ECE | 19.47% | 4.64% |
| Brier | 0.479 | 0.205 |
python -m kev.serve --run warjiang/kev-4b-massive-zh@v1 --host 0.0.0.0 --port 8009
Base model
Qwen/Qwen3.5-4B-Base