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arabert-ner-test-1 – AI Model by chosenone80 | AlphaNeural AI
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chosenone80
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arabert-ner-test-1
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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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chosenone80/arabert-ner-test-1
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: 0.0352
Validation Loss: 0.0384
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': 1695, '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: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.1961
0.0515
0
0.0506
0.0406
1
0.0352
0.0384
2
Framework versions
Transformers 4.37.2
TensorFlow 2.15.0
Datasets 2.17.1
Tokenizers 0.15.2
