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Upload config.json

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+ {
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+ "_name_or_path": "bert-base-uncased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Urgency",
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+ "1": "Not Dark Pattern",
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+ "2": "Scarcity",
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+ "3": "Misdirection",
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+ "4": "Social Proof",
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+ "5": "Obstruction",
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+ "6": "Sneaking",
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+ "7": "Forced Action"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "Forced Action": 7,
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+ "Misdirection": 3,
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+ "Not Dark Pattern": 1,
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+ "Obstruction": 5,
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+ "Scarcity": 2,
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+ "Sneaking": 6,
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+ "Social Proof": 4,
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+ "Urgency": 0
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.37.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }