ner-address-electra-base-vn – AI Model by dathuynh1108 | AlphaNeural AI

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dathuynh1108/
ner-address-electra-base-vn

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token-classification

generated_from_trainer

dathuynh1108/ner-address-standard-dataset

NlpHUST/electra-base-vn

endpoints_compatible

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ner-address-electra-base-vn

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

Loss: 0.0016
Precision: 0.9994
Recall: 0.9995
F1: 0.9994

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: 1.5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.0032	1.0	79290	0.0027	0.9985	0.9988	0.9986
0.0022	2.0	158580	0.0019	0.9989	0.9992	0.9991
0.0017	3.0	237870	0.0016	0.9992	0.9994	0.9993
0.0017	4.0	317160	0.0015	0.9993	0.9995	0.9994
0.0005	5.0	396450	0.0016	0.9994	0.9995	0.9994

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu130
Datasets 4.4.1
Tokenizers 0.22.1