BERT_Categorizer / config.json
rhulsker's picture
adding label_dictionary
c8307e3
{
"_name_or_path": "distilbert-base-uncased",
"activation": "gelu",
"architectures": [
"DistilBertForSequenceClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"id2label": {
"0": "I1",
"1": "I2",
"2": "I3",
"3": "I4",
"4": "U1",
"5": "U2",
"6": "U3",
"7": "U4",
"8": "T1",
"9": "T2",
"10": "T3",
"11": "T4",
"12": "T5"
},
"initializer_range": 0.02,
"label2id": {
"I1": 0,
"I2": 1,
"I3": 2,
"I4": 3,
"T1": 8,
"T2": 9,
"T3": 10,
"T4": 11,
"T5": 12,
"U1": 4,
"U2": 5,
"U3": 6,
"U4": 7
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"pad_token_id": 0,
"problem_type": "multi_label_classification",
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "float32",
"transformers_version": "4.38.2",
"vocab_size": 30522,
"LABEL_DICTIONARY": {
"I1": "Low Impact",
"I2": "Medium Impact",
"I3": "High Impact",
"I4": "Critical Impact",
"U1": "Low Urgency",
"U2": "Medium Urgency",
"U3": "High Urgency",
"U4": "Critical Urgency",
"T1": "Information",
"T2": "Incident",
"T3": "Problem",
"T4": "Request",
"T5": "Question"
}
}