interview_classifier / config.json
eskayML's picture
eskayML/interview_classfier
a2643b5 verified
raw
history blame
1.45 kB
{
"_name_or_path": "distilbert-base-uncased",
"activation": "gelu",
"architectures": [
"DistilBertForSequenceClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"id2label": {
"0": "Value equation",
"1": "Credentialing / Quality Assurance Infrastructure",
"2": "Finanicial Impact",
"3": "Health System Characteristics",
"4": "Clinical utility & efficiency-Provider perspective",
"5": "Workflow related problems",
"6": "Provider Characteristics",
"7": "Training",
"8": "Patient/Physican interaction in LUS",
"9": "Imaging modalities in general"
},
"initializer_range": 0.02,
"label2id": {
"Clinical utility & efficiency-Provider perspective": 4,
"Credentialing / Quality Assurance Infrastructure": 1,
"Finanicial Impact": 2,
"Health System Characteristics": 3,
"Imaging modalities in general": 9,
"Patient/Physican interaction in LUS": 8,
"Provider Characteristics": 6,
"Training": 7,
"Value equation": 0,
"Workflow related problems": 5
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"pad_token_id": 0,
"problem_type": "single_label_classification",
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "float32",
"transformers_version": "4.41.1",
"vocab_size": 30522
}