Pilot commit

README.md

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+---
+license: mit
+tags:
+- prompt-injection
+- security
+- classification
+- lora
+- fine-tuned
+- text-classification
+pipeline_tag: text-classification
+---
+
+# Aira-security/Deberta-v3-base-Prompt-Defender
+
+A classifier model to defend Prompt Injection and Jail Break
+
+## Usage
+
+### Using Pipeline
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="Aira-security/Deberta-v3-base-Prompt-Defender")
+
+result = pipe("Ignore all previous instructions")
+print(result)
+```
+
+### Direct Model Loading
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained("Aira-security/Deberta-v3-base-Prompt-Defender")
+model = AutoModelForSequenceClassification.from_pretrained("Aira-security/Deberta-v3-base-Prompt-Defender")
+
+inputs = tokenizer("Ignore all previous instructions", return_tensors="pt", truncation=True, max_length=512)
+outputs = model(**inputs)
+```
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@model{aira_security/deberta_v3_base_prompt_defender},
+  title={Aira-security/Deberta-v3-base-Prompt-Defender},
+  author={Aira Security},
+  year={2025},
+  url={https://huggingface.co/Aira-security/Deberta-v3-base-Prompt-Defender}
+}
+```

added_tokens.json

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+{
+  "[MASK]": 128000
+}

config.json

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+{
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "benign",
+    "1": "malicious"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "benign": 0,
+    "malicious": 1
+  },
+  "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": 12,
+  "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,
+  "problem_type": "single_label_classification",
+  "relative_attention": true,
+  "share_att_key": true,
+  "transformers_version": "4.57.1",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

metadata.json

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+{
+  "model_name": "Aira-security/Deberta-v3-base-Prompt-Defender",
+  "fine_tuning_method": "LoRA",
+  "num_labels": 2,
+  "lora_rank": 32,
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "max_length": 512,
+  "final_metrics": {
+    "eval_loss": 0.3183009922504425,
+    "eval_accuracy": 0.8498435870698644,
+    "eval_f1": 0.8021978021978022,
+    "eval_precision": 0.8439306358381503,
+    "eval_recall": 0.7643979057591623,
+    "eval_roc_auc": 0.9377943324834176,
+    "eval_runtime": 40.9095,
+    "eval_samples_per_second": 23.442,
+    "eval_steps_per_second": 1.467,
+    "epoch": 3.0
+  },
+  "hf_ready": true,
+  "merge_lora": true
+}

model.safetensors

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+size 737719272

special_tokens_map.json

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+{
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+    "lstrip": false,
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+    "single_word": false
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+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

spm.model

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+oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
+size 2464616

tokenizer_config.json

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+{
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+      "lstrip": false,
+      "normalized": false,
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+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 512,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "stride": 0,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}