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my_ebm_model_linkbert

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Galvin commited on
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3217643
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1 Parent(s): d7a985a

Training in progress, epoch 1

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Files changed (8) hide show
  1. config.json +3 -3
  2. pytorch_model.bin +2 -2
  3. runs/Apr16_22-36-44_d0ff8631383a/1681684710.0527606/events.out.tfevents.1681684710.d0ff8631383a.210.1 +3 -0
  4. runs/Apr16_22-36-44_d0ff8631383a/events.out.tfevents.1681684710.d0ff8631383a.210.0 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +3 -3
  7. training_args.bin +1 -1
  8. vocab.txt +0 -0
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "dmis-lab/biobert-v1.1",
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  "architectures": [
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  "BertForTokenClassification"
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  ],
@@ -37,8 +37,8 @@
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.27.4",
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  "type_vocab_size": 2,
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  "use_cache": true,
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- "vocab_size": 28996
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  }
 
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  {
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+ "_name_or_path": "michiyasunaga/BioLinkBERT-base",
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  "architectures": [
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  "BertForTokenClassification"
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  ],
 
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.28.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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+ "vocab_size": 28895
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  }
pytorch_model.bin CHANGED
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tokenizer.json CHANGED
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tokenizer_config.json CHANGED
@@ -1,13 +1,13 @@
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  {
 
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  "cls_token": "[CLS]",
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  "do_basic_tokenize": true,
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- "do_lower_case": false,
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  "mask_token": "[MASK]",
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- "model_max_length": 512,
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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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- "special_tokens_map_file": "/root/.cache/huggingface/hub/models--dmis-lab--biobert-v1.1/snapshots/551ca18efd7f052c8dfa0b01c94c2a8e68bc5488/special_tokens_map.json",
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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  "tokenizer_class": "BertTokenizer",
 
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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_basic_tokenize": true,
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+ "do_lower_case": true,
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  "mask_token": "[MASK]",
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+ "model_max_length": 1000000000000000019884624838656,
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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": null,
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  "tokenize_chinese_chars": true,
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  "tokenizer_class": "BertTokenizer",
training_args.bin CHANGED
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vocab.txt CHANGED
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