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gpt2_fine_tune_with_callback_PolynomialDecay – AI Model by Ashraf-kasem | AlphaNeural AI
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Ashraf-kasem
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gpt2_fine_tune_with_callback_PolynomialDecay
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0
transformers
tf
gpt2
text-generation
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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Ashraf-kasem/gpt2_fine_tune_with_callback_PolynomialDecay
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 3.9746
Train Accuracy: 0.0063
Validation Loss: 4.3079
Validation Accuracy: 0.0044
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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 14676, '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-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
4.6420
0.0092
4.4445
0.0056
0
4.1331
0.0067
4.3297
0.0047
1
3.9746
0.0063
4.3079
0.0044
2
Framework versions
Transformers 4.25.1
TensorFlow 2.9.0
Datasets 2.8.0
Tokenizers 0.13.2
