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{
"_name_or_path": "distilbert-base-uncased",
"activation": "gelu",
"architectures": [
"DistilBertForSequenceClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
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"id2label": {
"0": "Coding & Debugging",
"1": "Science",
"2": "Planning",
"3": "Information seeking",
"4": "Reasoning",
"5": "Math",
"6": "Medical Knowledge",
"7": "Data analysis",
"8": "Editing",
"9": "Brainstorming",
"10": "Creative writing",
"11": "Advice seeking",
"12": "Role playing",
"13": "Others",
"14": "Translating"
},
"initializer_range": 0.02,
"label2id": {
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"Brainstorming": 9,
"Coding & Debugging": 0,
"Creative writing": 10,
"Data analysis": 7,
"Editing": 8,
"Information seeking": 3,
"Math": 5,
"Medical Knowledge": 6,
"Others": 13,
"Planning": 2,
"Reasoning": 4,
"Role playing": 12,
"Science": 1,
"Translating": 14
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"pad_token_id": 0,
"problem_type": "single_label_classification",
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "float32",
"transformers_version": "4.48.3",
"vocab_size": 30522
}
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