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ss123 – AI Model by sara98A | AlphaNeural AI
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sara98A
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ss123
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transformers
safetensors
bert
text-classification
generated_from_trainer
aubmindlab/bert-base-arabertv02
finetune
endpoints_compatible
us
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ss123
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv02
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.0187
Accuracy: 0.0743
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: 32
eval_batch_size: 64
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
lr_scheduler_warmup_steps: 200
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
3.3417
1.0
76
3.1017
0.0595
3.0782
2.0
152
3.0529
0.0706
3.0579
3.0
228
3.0571
0.0669
3.0551
4.0
304
3.0421
0.0706
3.0613
5.0
380
3.0187
0.0743
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2
