Update README.md
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README.md
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@@ -42,11 +42,11 @@ q = engine.encode("雪鴞好可愛")
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```
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Files
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data/L1_base_embeddings.npy : embedding table (float32, V×1024)
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data/L1_base_vocab.json : vocab aligned with rows
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data/delta_base_scalar.npy : scalar bias (float32, V)
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engine.py : minimal runtime
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quickstart.py : example script
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Notes
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No safetensors / pytorch_model.bin is included because this model is distributed as a static NumPy embedding field.
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@@ -55,9 +55,9 @@ No safetensors / pytorch_model.bin is included because this model is distributed
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## Stress Test Results (Hard Retrieval Setting)
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corpus size = 1200
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eval size = 200
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ood ratio = 0.28
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| Model | in-domain MRR@10 | OOD MRR@10 |
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|--------|-----------------|------------|
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```
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Files
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| 45 |
+
- data/L1_base_embeddings.npy : embedding table (float32, V×1024)
|
| 46 |
+
- data/L1_base_vocab.json : vocab aligned with rows
|
| 47 |
+
- data/delta_base_scalar.npy : scalar bias (float32, V)
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| 48 |
+
- engine.py : minimal runtime
|
| 49 |
+
- quickstart.py : example script
|
| 50 |
|
| 51 |
Notes
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| 52 |
No safetensors / pytorch_model.bin is included because this model is distributed as a static NumPy embedding field.
|
|
|
|
| 55 |
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| 56 |
## Stress Test Results (Hard Retrieval Setting)
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| 57 |
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+
- corpus size = 1200
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| 59 |
+
- eval size = 200
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| 60 |
+
- ood ratio = 0.28
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| 61 |
|
| 62 |
| Model | in-domain MRR@10 | OOD MRR@10 |
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| 63 |
|--------|-----------------|------------|
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