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fairyTaleGeneration – Dataset by betoyoglu | AlphaNeural AI
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fairyTaleGeneration
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.8554
Validation Loss: 5.2886
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': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -781, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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
8.3775
7.5068
0
6.7593
6.3844
1
5.8657
5.7724
2
5.3334
5.4176
3
4.9905
5.2886
4
4.8519
5.2886
5
4.8528
5.2886
6
4.8530
5.2886
7
4.8568
5.2886
8
4.8554
5.2886
9
Framework versions
Transformers 4.48.3
TensorFlow 2.18.0
Datasets 3.5.0
Tokenizers 0.21.0
