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travel-classify – AI Model by HieuAnh | AlphaNeural AI
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HieuAnh
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travel-classify
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transformers
safetensors
roberta
text-classification
generated_from_trainer
vinai/phobert-base
finetune
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
vinai/phobert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2260
Accuracy: 0.9756
F1 Score: 0.9011
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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
