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gpt2-vectorizer – AI Model by ardanila | AlphaNeural AI
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ardanila
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gpt2-vectorizer
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transformers
tf
gpt2
text-generation
generated_from_keras_callback
openai-community/gpt2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ardanila/gpt2-vectorizer
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.4463
Validation Loss: 3.1108
Epoch: 0
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
4.4463
3.1108
0
Framework versions
Transformers 4.33.3
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3
