LQ-Kbert-base / config.json
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Add HF-standard offline package (auto_map + modeling_kbert_mtl.py)
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{
"return_dict": true,
"output_hidden_states": false,
"output_attentions": false,
"torchscript": false,
"torch_dtype": null,
"use_bfloat16": false,
"tf_legacy_loss": false,
"pruned_heads": {},
"tie_word_embeddings": true,
"is_encoder_decoder": false,
"is_decoder": false,
"cross_attention_hidden_size": null,
"add_cross_attention": false,
"tie_encoder_decoder": false,
"max_length": 20,
"min_length": 0,
"do_sample": false,
"early_stopping": false,
"num_beams": 1,
"num_beam_groups": 1,
"diversity_penalty": 0.0,
"temperature": 1.0,
"top_k": 50,
"top_p": 1.0,
"typical_p": 1.0,
"repetition_penalty": 1.0,
"length_penalty": 1.0,
"no_repeat_ngram_size": 0,
"encoder_no_repeat_ngram_size": 0,
"bad_words_ids": null,
"num_return_sequences": 1,
"chunk_size_feed_forward": 0,
"output_scores": false,
"return_dict_in_generate": false,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"remove_invalid_values": false,
"exponential_decay_length_penalty": null,
"suppress_tokens": null,
"begin_suppress_tokens": null,
"architectures": [
"KbertMTL"
],
"finetuning_task": null,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"tokenizer_class": null,
"prefix": null,
"bos_token_id": null,
"pad_token_id": 0,
"eos_token_id": null,
"sep_token_id": null,
"decoder_start_token_id": null,
"task_specific_params": null,
"problem_type": null,
"_name_or_path": "klue/bert-base",
"transformers_version": "4.27.0",
"model_type": "bert",
"vocab_size": 32000,
"hidden_size": 768,
"num_hidden_layers": 12,
"num_attention_heads": 12,
"hidden_act": "gelu",
"intermediate_size": 3072,
"hidden_dropout_prob": 0.1,
"attention_probs_dropout_prob": 0.1,
"max_position_embeddings": 512,
"type_vocab_size": 2,
"initializer_range": 0.02,
"layer_norm_eps": 1e-12,
"position_embedding_type": "absolute",
"use_cache": true,
"classifier_dropout": null,
"base_model_name_or_path": "klue/bert-base",
"base_model_config": {
"return_dict": true,
"output_hidden_states": false,
"output_attentions": false,
"torchscript": false,
"torch_dtype": null,
"use_bfloat16": false,
"tf_legacy_loss": false,
"pruned_heads": {},
"tie_word_embeddings": true,
"is_encoder_decoder": false,
"is_decoder": false,
"cross_attention_hidden_size": null,
"add_cross_attention": false,
"tie_encoder_decoder": false,
"max_length": 20,
"min_length": 0,
"do_sample": false,
"early_stopping": false,
"num_beams": 1,
"num_beam_groups": 1,
"diversity_penalty": 0.0,
"temperature": 1.0,
"top_k": 50,
"top_p": 1.0,
"typical_p": 1.0,
"repetition_penalty": 1.0,
"length_penalty": 1.0,
"no_repeat_ngram_size": 0,
"encoder_no_repeat_ngram_size": 0,
"bad_words_ids": null,
"num_return_sequences": 1,
"chunk_size_feed_forward": 0,
"output_scores": false,
"return_dict_in_generate": false,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"remove_invalid_values": false,
"exponential_decay_length_penalty": null,
"suppress_tokens": null,
"begin_suppress_tokens": null,
"architectures": [
"BertForMaskedLM"
],
"finetuning_task": null,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"tokenizer_class": null,
"prefix": null,
"bos_token_id": null,
"pad_token_id": 0,
"eos_token_id": null,
"sep_token_id": null,
"decoder_start_token_id": null,
"task_specific_params": null,
"problem_type": null,
"_name_or_path": "klue/bert-base",
"transformers_version": "4.27.0",
"model_type": "bert",
"vocab_size": 32000,
"hidden_size": 768,
"num_hidden_layers": 12,
"num_attention_heads": 12,
"hidden_act": "gelu",
"intermediate_size": 3072,
"hidden_dropout_prob": 0.1,
"attention_probs_dropout_prob": 0.1,
"max_position_embeddings": 512,
"type_vocab_size": 2,
"initializer_range": 0.02,
"layer_norm_eps": 1e-12,
"position_embedding_type": "absolute",
"use_cache": true,
"classifier_dropout": null
},
"emo_threshold": 0.35,
"langquant_info": {
"model_name": "LQ-KBERT-Base",
"organization": "LangQuant",
"year": 2025,
"license": "cc-by-nc-4.0",
"task": "Korean sentiment/action multi-task",
"head_structure": {
"sentiment": 5,
"action": 6,
"emotion": 7,
"regression": 3
},
"source_ckpt": "lq-kbert-base.pt"
},
"auto_map": {
"AutoModel": "modeling_kbert_mtl.KbertMTL"
}
}