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coda_processed_roberta

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coda_processed_roberta
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{
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Hacking",
    "1": "Gambling",
    "2": "Financial",
    "3": "Electronic",
    "4": "Porn",
    "5": "Arms",
    "6": "Drugs",
    "7": "Others",
    "8": "Crypto",
    "9": "Violence"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Arms": 5,
    "Crypto": 8,
    "Drugs": 6,
    "Electronic": 3,
    "Financial": 2,
    "Gambling": 1,
    "Hacking": 0,
    "Others": 7,
    "Porn": 4,
    "Violence": 9
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "transformers_version": "4.57.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}