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{
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "Controlled/Regulated Substances",
"1": "Criminal Planning/Confessions",
"2": "Deception/Fraud",
"3": "Guns and Illegal Weapons",
"4": "Harassment",
"5": "Hate/Identity Hate",
"6": "Needs Caution",
"7": "PII/Privacy",
"8": "Profanity",
"9": "Sexual",
"10": "Sexual (minor)",
"11": "Suicide and Self Harm",
"12": "Threat",
"13": "Violence"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"Controlled/Regulated Substances": 0,
"Criminal Planning/Confessions": 1,
"Deception/Fraud": 2,
"Guns and Illegal Weapons": 3,
"Harassment": 4,
"Hate/Identity Hate": 5,
"Needs Caution": 6,
"PII/Privacy": 7,
"Profanity": 8,
"Sexual": 9,
"Sexual (minor)": 10,
"Suicide and Self Harm": 11,
"Threat": 12,
"Violence": 13
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}