RADAR paraphraser | trigger=best | AUROC=0.2866

README.md

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+---
+language: en
+license: apache-2.0
+tags:
+  - text2text-generation
+  - paraphrase
+  - adversarial-training
+  - t5
+---
+
+# RADAR Paraphraser (T5-large)
+
+Adversarially trained paraphraser (Gσ) from the RADAR framework
+([Hu et al., NeurIPS 2023](https://arxiv.org/abs/2307.03838)).
+Trained via Clipped PPO with Entropy Penalty (cppo-ep) to generate
+paraphrases that evade the companion RADAR detector.
+
+## Training
+
+- **Base model**: `t5-large`
+- **Dataset**: [RAID](https://huggingface.co/datasets/liamdugan/raid)
+- **Best detector macro AUROC during adversarial training**: 0.2866
+- **Companion detector**: [Shushant/ADAL_AI_Detector](https://huggingface.co/Shushant/ADAL_AI_Detector)
+
+## Usage
+
+```python
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+
+tokenizer = T5Tokenizer.from_pretrained("Shushant/ADAL_Paraphrasher")
+model     = T5ForConditionalGeneration.from_pretrained("Shushant/ADAL_Paraphrasher")
+
+text    = "Paraphrase: " + "Your AI-generated text here."
+inputs  = tokenizer(text, return_tensors="pt", truncation=True, max_length=256)
+outputs = model.generate(**inputs, max_new_tokens=128, do_sample=True,
+                          top_k=50, top_p=0.95)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```

config.json

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+{
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "dtype": "float16",
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_decoder": false,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "scale_decoder_outputs": true,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.3.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "5.3.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:076c882ae12b52858b3e52011c50e3f2b620e1266242eaa57d80580d97211b6e
+size 707130000

tokenizer_config.json

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+}