Text_Classification_V1 / config.json
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{
"_name_or_path": "bert-base-cased",
"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": "Lucky",
"1": "Unwell",
"2": "Sad",
"3": "Bad",
"4": "Stressed",
"5": "Tired",
"6": "Peaceful",
"7": "Guilty",
"8": "Confident",
"9": "Blissful",
"10": "Stupid",
"11": "Excited",
"12": "Sentimental",
"13": "Insecure",
"14": "Hopeless",
"15": "Angry",
"16": "Disgusting"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Angry": 15,
"Bad": 3,
"Blissful": 9,
"Confident": 8,
"Disgusting": 16,
"Excited": 11,
"Guilty": 7,
"Hopeless": 14,
"Insecure": 13,
"Lucky": 0,
"Peaceful": 6,
"Sad": 2,
"Sentimental": 12,
"Stressed": 4,
"Stupid": 10,
"Tired": 5,
"Unwell": 1
},
"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": "4.46.3",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}