bert for dst model, pretrained
Browse files- .ipynb_checkpoints/config-checkpoint.json +0 -34
- .ipynb_checkpoints/vocab-checkpoint.txt +0 -0
- config.json +4 -11
- pytorch_model.bin +2 -2
- special_tokens_map.json +7 -0
- tokenizer_config.json +13 -0
- training_args.bin +1 -1
- vocab.txt +0 -0
.ipynb_checkpoints/config-checkpoint.json
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{
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"_name_or_path": "./checkpoints/checkpoint-11820",
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"embedding_size": 768,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_name_or_path": "kykim/bert-kor-base",
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"model_type": "bert",
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"n_gate": 5,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"proj_dim": null,
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"transformers_version": "4.5.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 42000
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}
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.ipynb_checkpoints/vocab-checkpoint.txt
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config.json
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{
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"_name_or_path": "./checkpoints/checkpoint-
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"embedding_size": 768,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_name_or_path": "
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"model_type": "bert",
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"n_gate": 5,
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"num_attention_heads": 12,
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"num_hidden_layers":
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"proj_dim": null,
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"transformers_version": "4.5.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "./checkpoints/checkpoint-5090",
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_name_or_path": "dsksd/bert-ko-small-minimal",
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"model_type": "bert",
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"n_gate": 5,
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"proj_dim": null,
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"transformers_version": "4.5.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 35000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc7a132a5421d504560f167efe9afc16a2f820229a8c8c42a5b504268df2867f
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size 284142038
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special_tokens_map.json
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{
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"unk_token": "[UNK]",
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"sep_token": "[SEP]",
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"pad_token": "[PAD]",
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"cls_token": "[CLS]",
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"mask_token": "[MASK]"
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}
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tokenizer_config.json
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{
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"do_lower_case": false,
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"do_basic_tokenize": true,
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"never_split": null,
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"unk_token": "[UNK]",
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"sep_token": "[SEP]",
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"pad_token": "[PAD]",
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"tokenize_chinese_chars": true,
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"strip_accents": null,
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"model_max_length": 512
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 2351
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fc4a9487facf830d41f0759909b54f01966e73e0deb03d28b966015c59cc72d
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size 2351
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vocab.txt
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