Token Classification
GLiNER
PyTorch
ONNX
NER
GLiNER
information extraction
encoder
entity recognition
gliner-x-small / gliner_config.json
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{
"class_token_index": 250100,
"dropout": 0.3,
"embed_ent_token": true,
"encoder_config": {
"_attn_implementation_autoset": true,
"_name_or_path": "google/mt5-small",
"add_cross_attention": false,
"architectures": [
"MT5ForConditionalGeneration"
],
"bad_words_ids": null,
"begin_suppress_tokens": null,
"bos_token_id": null,
"chunk_size_feed_forward": 0,
"classifier_dropout": 0.0,
"cross_attention_hidden_size": null,
"d_ff": 1024,
"d_kv": 64,
"d_model": 512,
"decoder_start_token_id": 0,
"dense_act_fn": "gelu_new",
"diversity_penalty": 0.0,
"do_sample": false,
"dropout_rate": 0.1,
"early_stopping": false,
"encoder_no_repeat_ngram_size": 0,
"eos_token_id": 1,
"exponential_decay_length_penalty": null,
"feed_forward_proj": "gated-gelu",
"finetuning_task": null,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"initializer_factor": 1.0,
"is_decoder": false,
"is_encoder_decoder": true,
"is_gated_act": true,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"layer_norm_epsilon": 1e-06,
"length_penalty": 1.0,
"max_length": 20,
"min_length": 0,
"model_type": "mt5",
"no_repeat_ngram_size": 0,
"num_beam_groups": 1,
"num_beams": 1,
"num_decoder_layers": 8,
"num_heads": 6,
"num_layers": 8,
"num_return_sequences": 1,
"output_attentions": false,
"output_hidden_states": false,
"output_scores": false,
"pad_token_id": 0,
"prefix": null,
"problem_type": null,
"pruned_heads": {},
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"remove_invalid_values": false,
"repetition_penalty": 1.0,
"return_dict": true,
"return_dict_in_generate": false,
"sep_token_id": null,
"suppress_tokens": null,
"task_specific_params": null,
"temperature": 1.0,
"tf_legacy_loss": false,
"tie_encoder_decoder": false,
"tie_word_embeddings": false,
"tokenizer_class": "T5Tokenizer",
"top_k": 50,
"top_p": 1.0,
"torch_dtype": null,
"torchscript": false,
"typical_p": 1.0,
"use_bfloat16": false,
"use_cache": true,
"vocab_size": 250102
},
"ent_token": "<<ENT>>",
"eval_every": 10000,
"fine_tune": true,
"freeze_token_rep": false,
"fuse_layers": false,
"has_rnn": true,
"hidden_size": 768,
"label_smoothing": 0,
"labels_encoder": null,
"labels_encoder_config": null,
"log_dir": "models/",
"loss_alpha": 0.75,
"loss_gamma": 0,
"loss_reduction": "sum",
"lr_encoder": "1e-5",
"lr_others": "3e-5",
"max_grad_norm": 10.0,
"max_len": 1024,
"max_neg_type_ratio": 1,
"max_types": 30,
"max_width": 12,
"model_name": "google/mt5-small",
"model_type": "gliner",
"name": "span level gliner",
"num_post_fusion_layers": 1,
"num_steps": 80000,
"post_fusion_schema": "",
"prev_path": null,
"random_drop": true,
"root_dir": "gliner_logs",
"save_total_limit": 3,
"scheduler_type": "cosine",
"sep_token": "<<SEP>>",
"shuffle_types": true,
"size_sup": -1,
"span_mode": "markerV0",
"subtoken_pooling": "first",
"train_batch_size": 8,
"train_data": "data/multilingual_data.json",
"transformers_version": "4.43.4",
"val_data_dir": "none",
"vocab_size": 250102,
"warmup_ratio": 0.05,
"weight_decay_encoder": 0.1,
"weight_decay_other": 0.01,
"words_splitter_type": "universal"
}