ShkalikovOleh
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Upload XLMRobertaForTokenClassification
Browse files- README.md +28 -28
- config.json +1 -1
- model.safetensors +2 -2
README.md
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---
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-
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-
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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:
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- google/xtreme
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language:
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- en
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library_name: transformers
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license: mit
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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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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
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name: Precision
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- type: recall
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value: 0.852891276685989
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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
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config.json
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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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"
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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,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c40aaf0b957169c38880e31be5fd1f5ec47ecd90f50b912f3089096ea9964328
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size 2235440556
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