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mirfan899
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hindi-muril-ner

Token Classification
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PyTorch
bert
Generated from Trainer
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hindi-muril-ner / README.md
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metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: hindi-muril-ner
    results: []

hindi-muril-ner

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0264
  • Precision: 0.8961
  • Recall: 0.9328
  • F1: 0.9141
  • Accuracy: 0.9937

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.2306 1.0 882 0.0523 0.8176 0.8724 0.8441 0.9875
0.0362 2.0 1764 0.0264 0.8961 0.9328 0.9141 0.9937

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.14.5
  • Tokenizers 0.13.3