readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - cfilt/HiNER-original
  metrics:
  - precision
  - recall
  - f1
  widget:
  - text: "बैंगलोर यूनिवर्सिटी में सेमेस्टर जुलाई से शुरू हो रही है ।"
  model-index:
  - name: HiNER-original-muril-base-cased
    results:
    - task:
        name: Named Entity Recognition
        type: Named Entity Recognition
      dataset:
        type: cfilt/HiNER-original
        name: HiNER Original
      metrics:
      - name: Precision
        type: precision
        value: 0.8874067587220668
      - name: Recall
        type: recall
        value: 0.880125938333643
      - name: F1
        type: f1
        value: 0.8837513529507954
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # HiNER-original-muril-base-cased
  
  This model was trained from scratch on the cfilt/HiNER-original dataset.
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 0.0001
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 1
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Framework versions
  
  - Transformers 4.14.0
  - Pytorch 1.9.1
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  