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dd3434
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test_model

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
text-embeddings-inference
Model card Files
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dd3434 commited on
Commit
5d3dca7
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1 Parent(s): 8139978

Training in progress, step 100

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Files changed (5) hide show
  1. config.json +10 -5
  2. pytorch_model.bin +2 -2
  3. special_tokens_map.json +1 -9
  4. tokenizer_config.json +8 -18
  5. training_args.bin +1 -1
config.json CHANGED
@@ -1,11 +1,12 @@
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  {
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- "_name_or_path": "skt/kobert-base-v1",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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- "author": "Heewon Jeon(madjakarta@gmail.com)",
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  "classifier_dropout": null,
 
 
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  "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
@@ -18,7 +19,6 @@
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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- "kobert_version": 1.0,
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  "label2id": {
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  "garbage": 2,
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  "item": 0,
@@ -30,12 +30,17 @@
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  "model_type": "bert",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
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- "pad_token_id": 1,
 
 
 
 
 
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.32.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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- "vocab_size": 8002
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  }
 
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  {
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+ "_name_or_path": "kykim/bert-kor-base",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
 
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  "classifier_dropout": null,
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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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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
 
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  "label2id": {
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  "garbage": 2,
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  "item": 0,
 
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  "model_type": "bert",
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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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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.32.0",
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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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  }
pytorch_model.bin CHANGED
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special_tokens_map.json CHANGED
@@ -1,14 +1,6 @@
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  {
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- "bos_token": "[CLS]",
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  "cls_token": "[CLS]",
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- "eos_token": "[SEP]",
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- "mask_token": {
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- "content": "[MASK]",
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- "lstrip": true,
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- "normalized": true,
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- "single_word": false
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- },
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  "pad_token": "[PAD]",
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  "sep_token": "[SEP]",
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  "unk_token": "[UNK]"
 
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  {
 
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  "cls_token": "[CLS]",
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+ "mask_token": "[MASK]",
 
 
 
 
 
 
 
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  "pad_token": "[PAD]",
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  "sep_token": "[SEP]",
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  "unk_token": "[UNK]"
tokenizer_config.json CHANGED
@@ -1,25 +1,15 @@
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  {
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- "additional_special_tokens": null,
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- "bos_token": "[CLS]",
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  "clean_up_tokenization_spaces": true,
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  "cls_token": "[CLS]",
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- "do_lower_case": false,
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- "eos_token": "[SEP]",
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- "keep_accents": false,
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- "last_hidden_states": true,
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- "mask_token": {
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- "__type": "AddedToken",
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- "content": "[MASK]",
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- "model_max_length": 1000000000000000019884624838656,
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  "pad_token": "[PAD]",
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- "remove_space": true,
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  "sep_token": "[SEP]",
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- "sp_model_kwargs": {},
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- "tokenizer_class": "KoBERTTokenizer",
 
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  "unk_token": "[UNK]"
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  }
 
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  "clean_up_tokenization_spaces": true,
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  "cls_token": "[CLS]",
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+ "do_lower_case": true,
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+ "mask_token": "[MASK]",
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+ "never_split": null,
 
 
 
 
 
 
 
 
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  "pad_token": "[PAD]",
 
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  "sep_token": "[SEP]",
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+ "strip_accents": false,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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  }
training_args.bin CHANGED
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