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。

  • 基座:Qwen/Qwen3.5-4B-Base@1001bb4d826a52d1f399e183466143f4da7b741b
  • 初始化:jaredpalmer/kev-4b@6cfce5c2fa4b4bd64026336ab649c5ca78857d52
  • 数据:mteb/amazon_massive_intent / zh-CN @ 940fd47a
  • 训练:1 epoch,lr 2e-05,batch 2 × accum 4,seed 42,bf16
  • LoRA:r=16,alpha=32,dropout=0.05

test 集结果(2,974 条,bf16 评估)

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

使用

python -m kev.serve --run warjiang/kev-4b-massive-zh@v1 --host 0.0.0.0 --port 8009
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