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sada-eou-balanced – AI Model by eltaiefaymen | AlphaNeural AI

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eltaiefaymen/
sada-eou-balanced

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text-classification

generated_from_trainer

khaledalganem/sada2022

aubmindlab/bert-base-arabertv02

text-embeddings-inference

endpoints_compatible

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sada-eou-balanced

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: 0.1476
Accuracy: 0.9636
F1: 0.9635
F1 Macro: 0.9635

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: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: 300
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1