text-extraction-test / config.json
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{
"_name_or_path": "nielsr/lilt-xlm-roberta-base",
"architectures": [
"LiltModel"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"channel_shrink_ratio": 4,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Citizenship_Certificate_No",
"1": "Full_Name",
"2": "Gender",
"3": "Date_of_birth",
"4": "Permanent_Address",
"5": "District",
"6": "Metro_Submetro_RM",
"7": "Ward_No",
"8": "fathers_name",
"9": "mothers_name"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Citizenship_Certificate_No": 0,
"Date_of_birth": 3,
"District": 5,
"Full_Name": 1,
"Gender": 2,
"Metro_Submetro_RM": 6,
"Permanent_Address": 4,
"Ward_No": 7,
"fathers_name": 8,
"mothers_name": 9
},
"layer_norm_eps": 1e-05,
"max_2d_position_embeddings": 1024,
"max_position_embeddings": 514,
"model_type": "lilt",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.48.2",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}