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t5-gpt_para_bert_large_uncased_finetuned_v2
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{
"_name_or_path": "bert-large-uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "STORAGE",
"1": "CONTACTS",
"2": "LOCATION",
"3": "CAMERA",
"4": "MICROPHONE",
"5": "SMS",
"6": "CALL_LOG",
"7": "PHONE",
"8": "CALENDAR",
"9": "SETTINGS",
"10": "TASKS"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"CALENDAR": 8,
"CALL_LOG": 6,
"CAMERA": 3,
"CONTACTS": 1,
"LOCATION": 2,
"MICROPHONE": 4,
"PHONE": 7,
"SETTINGS": 9,
"SMS": 5,
"STORAGE": 0,
"TASKS": 10
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.48.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}