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{
"_name_or_path": "AutoNLP",
"_num_labels": 11,
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Animals",
"1": "Compliment",
"2": "Education",
"3": "Health",
"4": "Heavy Emotion",
"5": "Joke",
"6": "Love",
"7": "Politics",
"8": "Religion",
"9": "Science",
"10": "Self"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Animals": 0,
"Compliment": 1,
"Education": 2,
"Health": 3,
"Heavy Emotion": 4,
"Joke": 5,
"Love": 6,
"Politics": 7,
"Religion": 8,
"Science": 9,
"Self": 10
},
"layer_norm_eps": 1e-12,
"max_length": 64,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"padding": "max_length",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.15.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}