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{
"_name_or_path": "../model/tibetan-bert",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": "Politics",
"1": "Economics",
"2": "Education",
"3": "Tourism",
"4": "Environment",
"5": "Language",
"6": "Literature",
"7": "Religion",
"8": "Arts",
"9": "Medicine",
"10": "Customs",
"11": "Instruments"
},
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"intermediate_size": 3072,
"label2id": {
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"Customs": 10,
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"Education": 2,
"Environment": 4,
"Instruments": 11,
"Language": 5,
"Literature": 6,
"Medicine": 9,
"Politics": 0,
"Religion": 7,
"Tourism": 3
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
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"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.36.2",
"type_vocab_size": 2,
"use_cache": true,
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}
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