README.md

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: 0.6311
• Precision: 0.5170
• Recall: 0.5666
• F1: 0.5406
• Accuracy: 0.8126

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
0.6285	1.9973	1474	0.6449	0.5123	0.5238	0.5180	0.8125
0.5081	3.9946	2948	0.6311	0.5170	0.5666	0.5406	0.8126

Framework versions

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