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: 0.5321
Precision: 0.5840
Recall: 0.6268
F1: 0.6047
Accuracy: 0.8423

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
0.4577	1.9981	2088	0.5131	0.5846	0.6146	0.5992	0.8432
0.3523	3.9962	4176	0.5321	0.5840	0.6268	0.6047	0.8423

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1