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: 0.5013
Precision: 0.5533
Recall: 0.6351
F1: 0.5914
Accuracy: 0.8419

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
0.4831	1.9990	2099	0.4981	0.5509	0.6224	0.5845	0.8411
0.391	3.9981	4198	0.5013	0.5533	0.6351	0.5914	0.8419

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1