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indo-ml-final-test-gpt2 – AI Model by vedantjumle | AlphaNeural AI
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vedantjumle
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indo-ml-final-test-gpt2
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transformers
tf
gpt2
text-classification
generated_from_keras_callback
openai-community/gpt2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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vedantjumle/indo-ml-final-test-gpt2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.5072
Validation Loss: 4.1596
Train Accuracy: 0.1333
Epoch: 3
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
5.8145
5.0149
0.0067
0
4.9947
4.8533
0.02
1
4.7870
4.6238
0.0567
2
4.5072
4.1596
0.1333
3
Framework versions
Transformers 4.34.0
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.14.1
