coda_raw_roberta / config.json
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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": "Others",
"1": "Gambling",
"2": "Financial",
"3": "Drugs",
"4": "Crypto",
"5": "Porn",
"6": "Violence",
"7": "Electronic",
"8": "Hacking",
"9": "Arms"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Arms": 9,
"Crypto": 4,
"Drugs": 3,
"Electronic": 7,
"Financial": 2,
"Gambling": 1,
"Hacking": 8,
"Others": 0,
"Porn": 5,
"Violence": 6
},
"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
}