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arabic-offensive-comment-model – AI Model by nassga | AlphaNeural AI
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nassga
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arabic-offensive-comment-model
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transformers
pytorch
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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arabic-offensive-comment-model
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv02-twitter
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2989
Accuracy: 0.9167
F1: 0.8197
Precision: 0.8507
Recall: 0.7959
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: 8
eval_batch_size: 8
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
0.3048
1.0
675
0.2989
0.9167
0.8197
0.8507
0.7959
0.1519
2.0
1350
0.4141
0.915
0.8341
0.8268
0.8420
0.0398
3.0
2025
0.5259
0.9033
0.8105
0.8049
0.8163
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3