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Upload XLMRobertaForTokenClassification

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  1. README.md +28 -28
  2. config.json +1 -1
  3. model.safetensors +2 -2
README.md CHANGED
@@ -1,42 +1,42 @@
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  ---
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- library_name: transformers
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- license: mit
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  datasets:
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  - google/xtreme
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  language:
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  - en
 
 
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  metrics:
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  - f1
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  - accuracy
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  - precision
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  - recall
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- base_model:
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- - FacebookAI/xlm-roberta-large
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- model-index:
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- - name: xlm-roberta-large-panx-en
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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: google/xtreme
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- type: google/xtreme
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- config: PAN-X.en
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- split: validation
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- metrics:
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- - name: Precision
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- type: precision
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- value: 0.834659287443791
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- - name: Recall
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- type: recall
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- value: 0.852891276685989
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- - name: F1
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- type: f1
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- value: 0.8436767945176742
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- - name: Accuracy
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- type: accuracy
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- value: 0.9357306049468561
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  pipeline_tag: token-classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # XLM-RoBERTa-Large-PANX-WikiAnn-en
 
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  ---
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+ base_model:
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+ - FacebookAI/xlm-roberta-large
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  datasets:
5
  - google/xtreme
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  language:
7
  - en
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+ library_name: transformers
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+ license: mit
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  metrics:
11
  - f1
12
  - accuracy
13
  - precision
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  - recall
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pipeline_tag: token-classification
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+ model-index:
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+ - name: xlm-roberta-large-panx-en
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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: google/xtreme
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+ type: google/xtreme
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+ config: PAN-X.en
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+ split: validation
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+ metrics:
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+ - type: precision
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+ value: 0.834659287443791
30
+ name: Precision
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+ - type: recall
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+ value: 0.852891276685989
33
+ name: Recall
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+ - type: f1
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+ value: 0.8436767945176742
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+ name: F1
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+ - type: accuracy
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+ value: 0.9357306049468561
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+ name: Accuracy
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  ---
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  # XLM-RoBERTa-Large-PANX-WikiAnn-en
config.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "_name_or_path": "/content/drive/MyDrive/Colab Notebooks/xlm_roberta",
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  "architectures": [
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- "XLMRobertaModel"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "bos_token_id": 0,
 
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  {
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  "_name_or_path": "/content/drive/MyDrive/Colab Notebooks/xlm_roberta",
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  "architectures": [
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+ "XLMRobertaForTokenClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "bos_token_id": 0,
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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- size 2239607176
 
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