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Grammar_Error_Corretion_model – AI Model by DriveMyScream | AlphaNeural AI
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Grammar_Error_Corretion_model
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Grammar_Error_Corretion_model
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.8280
Validation Loss: 0.7465
Epoch: 4
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7815, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
1.0037
0.8273
0
0.8891
0.7876
1
0.8605
0.7682
2
0.8374
0.7567
3
0.8280
0.7465
4
Framework versions
Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
