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gpt-2-finetuned-papers – AI Model by yodi | AlphaNeural AI
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yodi
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gpt-2-finetuned-papers
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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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yodi/gpt-2-finetuned-papers
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.9448
Validation Loss: 1.8459
Epoch: 10
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': {'module': 'keras.optimizers.schedules', 'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}, 'registered_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
2.1273
0
2.1829
1.9976
1
2.0794
1.9288
2
2.0208
1.8907
3
1.9872
1.8705
4
1.9680
1.8579
5
1.9572
1.8519
6
1.9511
1.8491
7
1.9478
1.8471
8
1.9458
1.8464
9
1.9448
1.8459
10
Framework versions
Transformers 4.30.2
TensorFlow 2.13.0
Datasets 2.12.0
Tokenizers 0.13.3
