README.md

metadata

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

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