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VBHC-classify – AI Model by nhanv | AlphaNeural AI | AlphaNeural AI
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VBHC-classify
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transformers
safetensors
electra
text-classification
generated_from_trainer
NlpHUST/electra-base-vn
finetune
autotrain_compatible
endpoints_compatible
us
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electra-vbpl_cls
This model is a fine-tuned version of
NlpHUST/electra-base-vn
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0125
Accuracy: 0.9972
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
