historyqa_model – AI Model by Asmaamaghraby | AlphaNeural AI

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Asmaamaghraby/
historyqa_model

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question-answering

generated_from_keras_callback

aubmindlab/bert-base-arabertv2

endpoints_compatible

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Asmaamaghraby/historyqa_model

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 3.1424
Validation Loss: 3.0324
Epoch: 9

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 42, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
4.6890	3.5754	0
3.3347	3.0324	1
3.1365	3.0324	2
3.1489	3.0324	3
3.1397	3.0324	4
3.1409	3.0324	5
3.1439	3.0324	6
3.1297	3.0324	7
3.1456	3.0324	8
3.1424	3.0324	9

Framework versions

Transformers 4.40.0
TensorFlow 2.15.0
Datasets 2.19.0
Tokenizers 0.19.1