Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Monglish_Arabic_FAQ – AI Model by Ahmedhany216 | AlphaNeural AI
You can deploy this model and start earning money today!
Ahmedhany216
/
Monglish_Arabic_FAQ
like
0
transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
CAMeL-Lab/bert-base-arabic-camelbert-msa
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Monglish_Arabic_FAQ
This model is a fine-tuned version of
CAMeL-Lab/bert-base-arabic-camelbert-msa
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0526
Accuracy: 0.9885
F1: 0.9884
Precision: 0.9888
Recall: 0.9885
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.1639
1.0
520
0.3404
0.9577
0.9573
0.9696
0.9577
0.0438
2.0
1040
0.0681
0.9885
0.9886
0.9891
0.9885
0.021
3.0
1560
0.0526
0.9885
0.9884
0.9888
0.9885
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1