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suplyd-intent-classifier – AI Model by ShazaAly | AlphaNeural AI
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ShazaAly
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suplyd-intent-classifier
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
asafaya/bert-base-arabic
finetune
autotrain_compatible
endpoints_compatible
us
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suplyd-intent-classifier
This model is a fine-tuned version of
asafaya/bert-base-arabic
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7004
Accuracy: 0.2647
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
17
2.8757
0.1176
No log
2.0
34
2.8086
0.2059
No log
3.0
51
2.7004
0.2647
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
