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Yah216/
DistilBERT-finetuned-ACDP

Name: DistilBERT-finetuned-ACDP
Availability: InStock

transformers

bert

fill-mask

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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Yah216/DistilBERT-finetuned-ACDP

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-ca on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 6.6178
Validation Loss: 6.2483
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -688, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
8.7636	7.6558	0
7.2645	6.7607	1
6.6178	6.2483	2

Framework versions

Transformers 4.19.2
TensorFlow 2.8.0
Datasets 2.2.2
Tokenizers 0.12.1