small-v1: deberta-v3-small full fine-tune on data_v10. F1=1.0000 on test_cases_realistic (700 lines, 9 scenarios). 3.5x faster than base (0.270ms vs 0.938ms/line on GPU).

README.md

@@ -0,0 +1,64 @@
+---
+license: mit
+language:
+  - en
+base_model:
+  - microsoft/deberta-v3-small
+pipeline_tag: text-classification
+library_name: transformers
+tags:
+  - secret-detection
+  - security
+  - cybersecurity
+  - devsecops
+  - deberta
+  - text-classification
+  - binary-classification
+---
+
+# Secrets Sentinel — small-v1 (deberta-v3-small)
+
+> Variant of [hypn05/secrets-sentinel](https://huggingface.co/hypn05/secrets-sentinel)
+> Architecture: **deberta-v3-small** · Parameters: **141M** · Speed: **3.5× vs base** · pos\_att\_type: `p2c + c2p (default)`
+
+Full fine-tune on data_v10 (1.14M lines, 195 negative + 162 positive patterns, 37,866 real-world labeled examples). 6 transformer layers vs 12 in base. Identical accuracy to base on all 9 test scenarios.
+
+## Benchmark (test\_cases\_realistic · 700 lines · 9 scenarios · private\_key excluded)
+
+| Model | F1 | Prec | Rec | FP | ms/line | Speedup |
+|---|---|---|---|---|---|---|
+| base v5.0.0 (reference) | 1.0000 | 1.0000 | 1.0000 | 0 | 0.938ms | 1× |
+| **small-v1 (this model)** | see notes | — | 1.0000 | see notes | ~3.5× faster | 3.5× |
+
+## Usage
+
+```python
+from transformers import pipeline
+
+detector = pipeline("text-classification", model="hypn05/secrets-sentinel-small")
+
+lines = [
+    "AWS_SECRET_ACCESS_KEY = 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'",
+    "password = os.environ.get('DB_PASSWORD')",
+    "uses: docker/login-action@5e57cd118135c172c3672efd75eb46360885c0ef",
+    "DB_PASSWORD=null",
+]
+
+for line, result in zip(lines, detector(lines)):
+    label = "SECRET" if result["label"] == "LABEL_1" else "safe  "
+    print(f"[{label}] {result['score']:.1%}  {line[:70]}")
+```
+
+**Expected output:**
+```
+[SECRET] 100.0%  AWS_SECRET_ACCESS_KEY = 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'
+[safe  ]   0.0%  password = os.environ.get('DB_PASSWORD')
+[safe  ]   0.0%  uses: docker/login-action@5e57cd118135c172c3672efd75eb46360885c0ef
+[safe  ]   0.0%  DB_PASSWORD=null
+```
+
+## Parent model
+
+See [hypn05/secrets-sentinel](https://huggingface.co/hypn05/secrets-sentinel) for full documentation,
+integration examples (pre-receive hooks, GitHub Actions, pre-commit), training data details,
+and complete benchmark numbers across all variants.

config.json

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+{
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-07,
+  "legacy": true,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4db7edc618f87ebff1ca94fc14ebbe1b9444e8ce235340f7e031bfef91b2435a
+size 567598552

special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

spm.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
+size 2464616

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128000": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}