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{
"_name_or_path": "cl-tohoku/bert-base-japanese-v2",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "writer_joy",
"1": "writer_sadness",
"2": "writer_anticipation",
"3": "writer_surprise",
"4": "writer_anger",
"5": "writer_fear",
"6": "writer_disgust",
"7": "writer_trust",
"8": "reader_joy",
"9": "reader_sadness",
"10": "reader_anticipation",
"11": "reader_surprise",
"12": "reader_anger",
"13": "reader_fear",
"14": "reader_disgust",
"15": "reader_trust"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"writer_joy": 0,
"writer_sadness": 1,
"reader_anticipation": 10,
"reader_surprise": 11,
"reader_anger": 12,
"reader_fear": 13,
"reader_disgust": 14,
"reader_trust": 15,
"writer_anticipation": 2,
"writer_surprise": 3,
"writer_anger": 4,
"writer_fear": 5,
"writer_disgust": 6,
"writer_trust": 7,
"reader_joy": 8,
"reader_sadness": 9
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "regression",
"tokenizer_class": "BertJapaneseTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.15.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32768
}