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metadata
base_model: NlpHUST/ner-vietnamese-electra-base
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: my_awesome_ner-token_classification_v1.0
    results: []

my_awesome_ner-token_classification_v1.0

This model is a fine-tuned version of NlpHUST/ner-vietnamese-electra-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5661
  • Precision: 0.5387
  • Recall: 0.5925
  • F1: 0.5644
  • Accuracy: 0.8318

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.6022 1.9970 1332 0.5910 0.5313 0.5817 0.5553 0.8284
0.4725 3.9940 2664 0.5661 0.5387 0.5925 0.5644 0.8318

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1