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fine_tuned_arabert – AI Model by Meshrif | AlphaNeural AI
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Meshrif
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fine_tuned_arabert
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
aubmindlab/bert-base-arabertv2
finetune
autotrain_compatible
endpoints_compatible
us
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fine_tuned_arabert
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7533
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
0.843
0.1896
200
1.0218
0.6926
0.3791
400
0.8842
0.6319
0.5687
600
0.8776
0.6183
0.7583
800
0.8168
0.5989
0.9479
1000
0.7533
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
