pytorch bert token-classification dataset:cfilt/HiNER-original transformers generated_from_trainer model-index autotrain_compatible
---
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
---

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# 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
