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model2 – AI Model by pradeep4321 | AlphaNeural AI
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pradeep4321
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model2
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transformers
tf
gpt2
text-generation
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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model2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 6.6055
Validation Loss: 6.6496
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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -999, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '
passive_serialization
': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, '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
6.6715
6.6783
0
6.6813
6.6776
1
6.6217
6.6763
2
6.6457
6.6744
3
6.6205
6.6718
4
6.6760
6.6686
5
6.6169
6.6648
6
6.5780
6.6603
7
6.5993
6.6552
8
6.6055
6.6496
9
Framework versions
Transformers 4.27.0.dev0
TensorFlow 2.9.1
Datasets 2.5.1
Tokenizers 0.13.3
