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arabert-gec-v2-2 – AI Model by s3h | AlphaNeural AI
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s3h
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arabert-gec-v2-2
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transformers
t5
text2text-generation
generated_from_keras_callback
endpoints_compatible
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Model card
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s3h/arabic-t5-small-finetuned-gec
This model is a fine-tuned version of
flax-community/arabic-t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.0930
Validation Loss: 0.9132
Epoch: 0
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 573, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
1.0930
0.9132
0
Framework versions
Transformers 4.15.0
TensorFlow 2.7.0
Datasets 1.17.0
Tokenizers 0.10.3
