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{
"architectures": [
"AlbertForSequenceClassification"
],
"problem_type": "multi_label_classification",
"id2label": {
"0": "toxic",
"1": "severe_toxic",
"2": "obscene",
"3": "threat",
"4": "insult",
"5": "identity_hate"
},
"label2id": {
"toxic": 0,
"severe_toxic": 1,
"obscene": 2,
"threat": 3,
"insult": 4,
"identity_hate": 5
},
"attention_probs_dropout_prob": 0,
"bos_token_id": 2,
"classifier_dropout_prob": 0.1,
"down_scale_factor": 1,
"embedding_size": 128,
"eos_token_id": 3,
"gap_size": 0,
"hidden_act": "gelu_new",
"hidden_dropout_prob": 0,
"hidden_size": 768,
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "albert",
"net_structure_type": 0,
"num_attention_heads": 12,
"num_hidden_groups": 1,
"num_hidden_layers": 12,
"num_memory_blocks": 0,
"pad_token_id": 0,
"type_vocab_size": 2,
"vocab_size": 30000
}
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