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{
"add_cross_attention": false,
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
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"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
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"1": "Natural Language Processing",
"2": "Computer Vision",
"3": "Machine Learning",
"4": "Computer Science Theory and Algorithms",
"5": "Mathematics",
"6": "Statistics",
"7": "Electrical Engineering",
"8": "Astrophysics",
"9": "Condensed Matter Physics",
"10": "Quantum Physics",
"11": "Quantitative Biology"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
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"Astrophysics": 8,
"Computer Science Theory and Algorithms": 4,
"Computer Vision": 2,
"Condensed Matter Physics": 9,
"Electrical Engineering": 7,
"Machine Learning": 3,
"Mathematics": 5,
"Natural Language Processing": 1,
"Quantitative Biology": 11,
"Quantum Physics": 10,
"Statistics": 6
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"tie_word_embeddings": true,
"transformers_version": "5.5.0",
"type_vocab_size": 2,
"use_cache": false,
"vocab_size": 31090
}