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Mariam_classifer – AI Model by MariamOsama3 | AlphaNeural AI
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MariamOsama3
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Mariam_classifer
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transformers
tf
bert
token-classification
generated_from_keras_callback
aubmindlab/bert-base-arabertv02
finetune
autotrain_compatible
endpoints_compatible
us
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Mariam_classifer
This model is a fine-tuned version of
aubmindlab/bert-base-arabertv02
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0680
Validation Loss: 0.0869
Train Precision: 0.9722
Train Recall: 0.9718
Train F1: 0.9720
Train Accuracy: 0.9748
Epoch: 2
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3645, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Precision
Train Recall
Train F1
Train Accuracy
Epoch
0.2391
0.1015
0.9681
0.9677
0.9679
0.9709
0
0.0881
0.0890
0.9715
0.9712
0.9713
0.9742
1
0.0680
0.0869
0.9722
0.9718
0.9720
0.9748
2
Framework versions
Transformers 4.51.1
TensorFlow 2.18.0
Datasets 3.5.0
Tokenizers 0.21.0
