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my_awesome_pos_model – AI Model by abdallahm7moud | AlphaNeural AI
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abdallahm7moud
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my_awesome_pos_model
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transformers
tf
bert
token-classification
generated_from_keras_callback
asafaya/bert-base-arabic
finetune
autotrain_compatible
endpoints_compatible
us
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abdallahm7moud/my_awesome_pos_model
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:
Train Loss: 0.1554
Validation Loss: 0.1631
Train Accuracy: 0.9570
Train Precision: 0.9419
Train Recall: 0.9388
Train F1: 0.9403
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': 249, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Train Precision
Train Recall
Train F1
Epoch
0.2216
0.1750
0.9538
0.9386
0.9334
0.9360
0
0.1672
0.1631
0.9570
0.9419
0.9388
0.9403
1
0.1554
0.1631
0.9570
0.9419
0.9388
0.9403
2
Framework versions
Transformers 4.51.3
TensorFlow 2.18.0
Datasets 3.6.0
Tokenizers 0.21.1
