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Upload merged Qwen3-4B-Instruct-2507 model (auto-generated README)

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README.md CHANGED
@@ -56,7 +56,7 @@ DB category weights used during training-data preparation:
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  - comparison: 2
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  - ranking: 1
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- - insert: 2
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  - update: 1
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@@ -65,9 +65,9 @@ DB category weights used during training-data preparation:
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  - Base model: Qwen/Qwen3-4B-Instruct-2507
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  - Method: LoRA (full precision base)
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  - Max sequence length: 2048
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- - Epochs: 2.0
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  - Learning rate: 3e-06
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- - LoRA: r=32, alpha=64, dropout=0.05
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  - Per-device train batch size: 2
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  - Gradient accumulation: 4
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  - comparison: 2
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  - ranking: 1
58
  - select: 1
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+ - insert: 1
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  - update: 1
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  - other: 2
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  - Base model: Qwen/Qwen3-4B-Instruct-2507
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  - Method: LoRA (full precision base)
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  - Max sequence length: 2048
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+ - Epochs: 1.2
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  - Learning rate: 3e-06
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+ - LoRA: r=32, alpha=64, dropout=0.0
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  - Per-device train batch size: 2
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  - Gradient accumulation: 4
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