test_model / config.json
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{
"_name_or_path": "bert-base-uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "none",
"1": "like",
"10": "express_abashed",
"2": "unlike",
"3": "hope",
"4": "questioning",
"5": "express_surprise",
"6": "normal_interaction",
"7": "express_sad",
"8": "tease",
"9": "meme"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"express_abashed": "10",
"express_sad": "7",
"express_surprise": "5",
"hope": "3",
"like": "1",
"meme": "9",
"none": "0",
"normal_interaction": "6",
"questioning": "4",
"tease": "8",
"unlike": "2"
},
"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": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.29.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}