albert_mbti / config.json
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{
"_name_or_path": "JanSt/albert-base-v2_mbti-classification",
"architectures": [
"AlbertForSequenceClassification"
],
"attention_probs_dropout_prob": 0,
"bos_token_id": 2,
"classifier_dropout_prob": 0.1,
"down_scale_factor": 1,
"embedding_size": 128,
"eos_token_id": 3,
"gap_size": 0,
"hidden_act": "gelu_new",
"hidden_dropout_prob": 0,
"hidden_size": 768,
"id2label": {
"0": "INTP",
"1": "ISTP",
"2": "ENTP",
"3": "ESTP",
"4": "INFP",
"5": "ISFP",
"6": "ENFP",
"7": "ESFP",
"8": "INTJ",
"9": "ISTJ",
"10": "ENTJ",
"11": "ESTJ",
"12": "INFJ",
"13": "ISFJ",
"14": "ENFJ",
"15": "ESFJ"
},
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 3072,
"label2id": {
"ENFJ": 14,
"ENFP": 6,
"ENTJ": 10,
"ENTP": 2,
"ESFJ": 15,
"ESFP": 7,
"ESTJ": 11,
"ESTP": 3,
"INFJ": 12,
"INFP": 4,
"INTJ": 8,
"INTP": 0,
"ISFJ": 13,
"ISFP": 5,
"ISTJ": 9,
"ISTP": 1
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "albert",
"net_structure_type": 0,
"num_attention_heads": 12,
"num_hidden_groups": 1,
"num_hidden_layers": 12,
"num_memory_blocks": 0,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.38.2",
"type_vocab_size": 2,
"vocab_size": 30000
}