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{
"_name_or_path": "AutoNLP",
"_num_labels": 9,
"architectures": [
"AlbertForSequenceClassification"
],
"attention_probs_dropout_prob": 0,
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"hidden_act": "gelu_new",
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"hidden_size": 1024,
"id2label": {
"0": "communal_attack",
"1": "hate_speech",
"2": "inciteful",
"3": "personal_attack",
"4": "political_comment",
"5": "religious",
"6": "religious hatred",
"7": "religious_hatred",
"8": "suicidal_attack"
},
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"inner_group_num": 1,
"intermediate_size": 4096,
"label2id": {
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"hate_speech": 1,
"inciteful": 2,
"personal_attack": 3,
"political_comment": 4,
"religious": 5,
"religious hatred": 6,
"religious_hatred": 7,
"suicidal_attack": 8
},
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"max_length": 64,
"max_position_embeddings": 512,
"model_type": "albert",
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"num_memory_blocks": 0,
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"padding": "max_length",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tokenizer_class": "PreTrainedTokenizerFast",
"transformers_version": "4.8.0",
"type_vocab_size": 2,
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}
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