Retrained with adaptive-classifier v0.0.17 (k parameter fix)
Browse files- README.md +6 -6
- config.json +8 -1
- examples.json +0 -0
- model.safetensors +1 -1
README.md
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@@ -17,17 +17,17 @@ You can install it with `pip install adaptive-classifier`.
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- Base Model: answerdotai/ModernBERT-base
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- Number of Classes: 5
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- Total Examples:
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- Embedding Dimension: 768
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## Class Distribution
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```
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gdpr:
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hipaa:
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other:
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pci:
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sox:
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```
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## Usage
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- Base Model: answerdotai/ModernBERT-base
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- Number of Classes: 5
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- Total Examples: 25
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- Embedding Dimension: 768
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## Class Distribution
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```
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gdpr: 5 examples (20.0%)
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hipaa: 5 examples (20.0%)
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other: 5 examples (20.0%)
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pci: 5 examples (20.0%)
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sox: 5 examples (20.0%)
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```
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## Usage
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config.json
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"sox": 4
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},
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"model_name": "answerdotai/ModernBERT-base",
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"train_steps": 13
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}
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"sox": 4
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},
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"model_name": "answerdotai/ModernBERT-base",
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"train_steps": 13,
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"training_history": {
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"gdpr": 100,
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"hipaa": 100,
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"other": 100,
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"pci": 100,
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"sox": 100
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}
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}
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examples.json
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 3567580
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:8bfc0373be4884b2bf63e2faf88325d9c718b66887140d6c47ca9bb5964a2c4e
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size 3567580
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