CoolFace
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betoyoglu/storyGeneration

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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storyGeneration

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 5.2799
  • Validation Loss: 5.4089
  • 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', 'learningrate': {'module': 'transformers.optimizationtf', 'classname': 'WarmUp', 'config': {'initiallearningrate': 5e-05, 'decayschedulefn': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 5e-05, 'decaysteps': 1199, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'warmupsteps': 1000, 'power': 1.0, 'name': None}, 'registeredname': 'WarmUp'}, 'decay': 0.0, 'beta1': np.float32(0.9), 'beta2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.01}
  • trainingprecision: mixedfloat16

Training results

Train LossValidation LossEpoch
6.41835.40890
5.28075.40891
5.28085.40892
5.28005.40893
5.28025.40894
5.28025.40895
5.28075.40896
5.28015.40897
5.28075.40898
5.27995.40899

Framework versions

  • Transformers 4.50.3
  • TensorFlow 2.18.0
  • Datasets 3.5.0
  • Tokenizers 0.21.1