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GPT-2-finetuned-abstracts – AI Model by dhanunjaya | AlphaNeural AI
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dhanunjaya
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GPT-2-finetuned-abstracts
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transformers
tf
gpt2
text-generation
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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dhanunjaya/GPT-2-finetuned-abstracts
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.4234
Validation Loss: 2.2189
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': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}}, '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
2.4234
2.2189
0
Framework versions
Transformers 4.26.1
TensorFlow 2.12.0
Datasets 2.10.1
Tokenizers 0.13.2
