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molecular_generation – AI Model by IshanKumar | AlphaNeural AI
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molecular_generation
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Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
optimizer: {'name': 'Adam', 'learning_rate': 0.0005, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training Metrics
Epochs
Train Loss
1
68866.578
2
68818.219
3
68850.844
4
68829.688
5
68840.258
6
68813.281
7
68809.414
8
68815.312
9
68805.641
10
68803.672
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