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NER model data augmentation finetuned (v4)

config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "distilbert/distilbert-base-uncased",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForTokenClassification"
@@ -44,7 +44,6 @@
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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- "torch_dtype": "float32",
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- "transformers_version": "4.44.2",
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  "vocab_size": 30522
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  }
 
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  {
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+ "_name_or_path": "chidamnat2002/distilbert-uncased-NER-LoRA",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForTokenClassification"
 
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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+ "transformers_version": "4.43.4",
 
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  "vocab_size": 30522
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  }
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quantize_config.json CHANGED
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  {
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  "modes": [
 
 
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  "fp16"
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  ],
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  "per_channel": true,
 
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  {
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  "modes": [
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+ "q4",
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+ "q8",
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  "fp16"
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  ],
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  "per_channel": true,
special_tokens_map.json CHANGED
@@ -1,7 +1,37 @@
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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]"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
 
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+ "normalized": false,
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+ "unk_token": {
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+ "normalized": false,
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+ "rstrip": false,
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+ }
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  }