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arabert-dialect – AI Model by Ronysalem | AlphaNeural AI
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Ronysalem
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arabert-dialect
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transformers
safetensors
bert
text-classification
generated_from_trainer
asafaya/bert-base-arabic
finetune
autotrain_compatible
endpoints_compatible
us
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results
This model is a fine-tuned version of
asafaya/bert-base-arabic
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5491
Accuracy: 0.8431
F1: 0.8420
Precision: 0.8419
Recall: 0.8431
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.581
1.0
1847
0.4896
0.8299
0.8267
0.8316
0.8299
0.3579
2.0
3694
0.4723
0.8403
0.8376
0.8429
0.8403
0.1966
3.0
5541
0.5491
0.8431
0.8420
0.8419
0.8431
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
