Token Classification
GLiNER
PyTorch
ONNX
English
gliner-pii-detection / gliner_config.json
MikeG27's picture
Upload folder using huggingface_hub
614a902 verified
raw
history blame
4.62 kB
{
"class_token_index": 128002,
"dropout": 0.4,
"embed_ent_token": true,
"encoder_config": {
"_attn_implementation_autoset": false,
"_name_or_path": "microsoft/deberta-v3-small",
"add_cross_attention": false,
"architectures": null,
"attention_probs_dropout_prob": 0.1,
"bad_words_ids": null,
"begin_suppress_tokens": null,
"bos_token_id": null,
"chunk_size_feed_forward": 0,
"cross_attention_hidden_size": null,
"decoder_start_token_id": null,
"diversity_penalty": 0.0,
"do_sample": false,
"early_stopping": false,
"encoder_no_repeat_ngram_size": 0,
"eos_token_id": null,
"exponential_decay_length_penalty": null,
"finetuning_task": null,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"is_encoder_decoder": false,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"layer_norm_eps": 1e-07,
"legacy": true,
"length_penalty": 1.0,
"max_length": 20,
"max_position_embeddings": 512,
"max_relative_positions": -1,
"min_length": 0,
"model_type": "deberta-v2",
"no_repeat_ngram_size": 0,
"norm_rel_ebd": "layer_norm",
"num_attention_heads": 12,
"num_beam_groups": 1,
"num_beams": 1,
"num_hidden_layers": 6,
"num_return_sequences": 1,
"output_attentions": false,
"output_hidden_states": false,
"output_scores": false,
"pad_token_id": 0,
"pooler_dropout": 0,
"pooler_hidden_act": "gelu",
"pooler_hidden_size": 768,
"pos_att_type": [
"p2c",
"c2p"
],
"position_biased_input": false,
"position_buckets": 256,
"prefix": null,
"problem_type": null,
"pruned_heads": {},
"relative_attention": true,
"remove_invalid_values": false,
"repetition_penalty": 1.0,
"return_dict": true,
"return_dict_in_generate": false,
"sep_token_id": null,
"share_att_key": true,
"suppress_tokens": null,
"task_specific_params": null,
"temperature": 1.0,
"tf_legacy_loss": false,
"tie_encoder_decoder": false,
"tie_word_embeddings": true,
"tokenizer_class": null,
"top_k": 50,
"top_p": 1.0,
"torch_dtype": null,
"torchscript": false,
"type_vocab_size": 0,
"typical_p": 1.0,
"use_bfloat16": false,
"vocab_size": 128004
},
"ent_token": "<<ENT>>",
"eval_every": 5000,
"fine_tune": true,
"fuse_layers": false,
"has_rnn": true,
"hidden_size": 512,
"id2label": {
"1": "api_key",
"2": "bank_routing_number",
"3": "bban",
"4": "company",
"5": "credit_card_number",
"6": "credit_card_security_code",
"7": "customer_id",
"8": "date",
"9": "date_of_birth",
"10": "date_time",
"11": "driver_license_number",
"12": "email",
"13": "employee_id",
"14": "first_name",
"15": "iban",
"16": "ipv4",
"17": "ipv6",
"18": "last_name",
"19": "local_latlng",
"20": "name",
"21": "passport_number",
"22": "password",
"23": "phone_number",
"24": "ssn",
"25": "street_address",
"26": "swift_bic_code",
"27": "time"
},
"label2id": {
"api_key": 1,
"bank_routing_number": 2,
"bban": 3,
"company": 4,
"credit_card_number": 5,
"credit_card_security_code": 6,
"customer_id": 7,
"date": 8,
"date_of_birth": 9,
"date_time": 10,
"driver_license_number": 11,
"email": 12,
"employee_id": 13,
"first_name": 14,
"iban": 15,
"ipv4": 16,
"ipv6": 17,
"last_name": 18,
"local_latlng": 19,
"name": 20,
"passport_number": 21,
"password": 22,
"phone_number": 23,
"ssn": 24,
"street_address": 25,
"swift_bic_code": 26,
"time": 27
},
"labels_encoder": null,
"labels_encoder_config": null,
"lr_encoder": "1e-5",
"lr_others": "5e-5",
"max_len": 384,
"max_neg_type_ratio": 1,
"max_types": 25,
"max_width": 12,
"model_name": "microsoft/deberta-v3-small",
"model_type": "gliner",
"name": "correct",
"num_post_fusion_layers": 1,
"num_steps": 30000,
"post_fusion_schema": "",
"random_drop": true,
"sep_token": "<<SEP>>",
"shuffle_types": true,
"size_sup": -1,
"span_mode": "markerV0",
"subtoken_pooling": "first",
"train_batch_size": 8,
"transformers_version": "4.48.3",
"vocab_size": 128004,
"warmup_ratio": 3000,
"words_splitter_type": "whitespace"
}