Fix model: save 200 representative examples per class for better predictions
Browse files- .gitattributes +1 -0
- config.json +1 -1
- examples.json +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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examples.json filter=lfs diff=lfs merge=lfs -text
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config.json
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@@ -15,7 +15,7 @@
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"min_confidence": 0.1,
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"min_examples_per_class": 3,
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"neural_weight": 0.7,
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"num_representative_examples":
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"prototype_update_frequency": 100,
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"prototype_weight": 0.3,
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"quantization": null,
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"min_confidence": 0.1,
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"min_examples_per_class": 3,
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"neural_weight": 0.7,
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"num_representative_examples": 200,
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"prototype_update_frequency": 100,
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"prototype_weight": 0.3,
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"quantization": null,
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examples.json
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