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distilgpt2-finetuned-cyber-readme-v3 – AI Model by pippinnie | AlphaNeural AI
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pippinnie
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distilgpt2-finetuned-cyber-readme-v3
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transformers
tf
tensorboard
gpt2
text-generation
generated_from_keras_callback
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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pippinnie/distilgpt2-finetuned-cyber-readme-v3
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 3.8927
Validation Loss: 3.9904
Epoch: 4
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
4.6828
4.4721
0
4.3595
4.2948
1
4.1610
4.1656
2
4.0115
4.0678
3
3.8927
3.9904
4
Framework versions
Transformers 4.38.2
TensorFlow 2.16.1
Datasets 2.18.0
Tokenizers 0.15.2
