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Upload model version 2
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{
"_name_or_path": "prajjwal1/bert-tiny",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.5,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.5,
"hidden_size": 128,
"id2label": {
"0": "NO DISTORTION",
"1": "PERSONALIZATION",
"2": "EMOTIONAL REASONING",
"3": "OVERGENERALIZING",
"4": "LABELING",
"5": "SHOULD STATEMENTS",
"6": "CATASTROPHIZING",
"7": "REWARD FALLACY"
},
"initializer_range": 0.02,
"intermediate_size": 512,
"label2id": {
"CATASTROPHIZING": 6,
"EMOTIONAL REASONING": 2,
"LABELING": 4,
"NO DISTORTION": 0,
"OVERGENERALIZING": 3,
"PERSONALIZATION": 1,
"REWARD FALLACY": 7,
"SHOULD STATEMENTS": 5
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 2,
"num_hidden_layers": 2,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.24.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}