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PassbyGrocer
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bert-ner-conll2003

Token Classification
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Safetensors
bert
Generated from Trainer
Eval Results (legacy)
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PassbyGrocer commited on
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Upload BertForTokenClassification

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Files changed (2) hide show
  1. README.md +9 -9
  2. config.json +19 -19
README.md CHANGED
@@ -15,8 +15,8 @@ model-index:
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  - name: bert-ner-conll2003
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  results:
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  - task:
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- name: Token Classification
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  type: token-classification
 
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  dataset:
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  name: conll2003
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  type: conll2003
@@ -24,18 +24,18 @@ model-index:
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  split: validation
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  args: conll2003
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.9414244508542268
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- - name: Recall
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- type: recall
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  value: 0.9493231905134802
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- - name: F1
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- type: f1
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  value: 0.9453573218960619
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- - name: Accuracy
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- type: accuracy
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  value: 0.9865601220074031
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - name: bert-ner-conll2003
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  results:
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  - task:
 
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  type: token-classification
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+ name: Token Classification
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  dataset:
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  name: conll2003
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  type: conll2003
 
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  split: validation
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  args: conll2003
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  metrics:
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+ - type: precision
 
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  value: 0.9414244508542268
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+ name: Precision
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+ - type: recall
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  value: 0.9493231905134802
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+ name: Recall
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+ - type: f1
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  value: 0.9453573218960619
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+ name: F1
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+ - type: accuracy
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  value: 0.9865601220074031
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+ name: Accuracy
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "bert-base-uncased",
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  "architectures": [
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  "BertForTokenClassification"
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  ],
@@ -10,28 +10,28 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1",
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- "2": "LABEL_2",
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- "3": "LABEL_3",
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- "4": "LABEL_4",
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- "5": "LABEL_5",
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- "6": "LABEL_6",
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- "7": "LABEL_7",
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- "8": "LABEL_8"
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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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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_2": 2,
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- "LABEL_3": 3,
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- "LABEL_4": 4,
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- "LABEL_5": 5,
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- "LABEL_6": 6,
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- "LABEL_7": 7,
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- "LABEL_8": 8
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  {
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+ "_name_or_path": "PassbyGrocer/bert-ner-conll2003",
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  "architectures": [
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  "BertForTokenClassification"
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  ],
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "0": "O",
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+ "1": "B-PER",
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+ "2": "I-PER",
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+ "3": "B-ORG",
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+ "4": "I-ORG",
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+ "5": "B-LOC",
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+ "6": "I-LOC",
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+ "7": "B-MISC",
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+ "8": "I-MISC"
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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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+ "B-LOC": 5,
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+ "B-MISC": 7,
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+ "B-ORG": 3,
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+ "B-PER": 1,
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+ "I-LOC": 6,
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+ "I-MISC": 8,
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+ "I-ORG": 4,
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+ "I-PER": 2,
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+ "O": 0
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,