plp_pdt_clr_tinybert / config.json
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{
"_name_or_path": "model_trained/tinybert",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"cell": {},
"classifier_dropout": null,
"emb_size": 312,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 312,
"id2label": {
"0": "account",
"1": "atm",
"2": "card",
"3": "credit_card",
"4": "current_account",
"5": "debit_card",
"6": "fixed_deposit",
"7": "forex_account",
"8": "loan",
"9": "mobile_app",
"10": "others",
"11": "savings_account",
"12": "website"
},
"initializer_range": 0.02,
"intermediate_size": 1200,
"label2id": {
"account": 0,
"atm": 1,
"card": 2,
"credit_card": 3,
"current_account": 4,
"debit_card": 5,
"fixed_deposit": 6,
"forex_account": 7,
"loan": 8,
"mobile_app": 9,
"others": 10,
"savings_account": 11,
"website": 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 4,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"pre_trained": "",
"problem_type": "single_label_classification",
"structure": [],
"torch_dtype": "float32",
"transformers_version": "4.45.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}