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test_trainer – AI Model by SirawitC | AlphaNeural AI
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SirawitC
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test_trainer
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transformers
tensorboard
safetensors
camembert
text-classification
generated_from_trainer
airesearch/wangchanberta-base-att-spm-uncased
finetune
autotrain_compatible
endpoints_compatible
us
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test_trainer
This model is a fine-tuned version of
airesearch/wangchanberta-base-att-spm-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0095
Accuracy: 0.9951
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: 5e-05
train_batch_size: 8
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
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
