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arabert_text_classification – AI Model by Meshrif | AlphaNeural AI | AlphaNeural AI
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Meshrif
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arabert_text_classification
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transformers
safetensors
bert
text-classification
generated_from_trainer
aubmindlab/bert-base-arabertv02
finetune
autotrain_compatible
endpoints_compatible
us
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arabert_text_classification
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv02
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4419
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: 4
eval_batch_size: 4
seed: 42
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.5355
1.0
1673
0.3502
0.3758
2.0
3346
0.4419
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4