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  This model was trained in order to provide a model which can then be fine-tuned for other tasks in which SMILES data can be useful such as
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  predicting physical properties, chemical activity, or biological activity.
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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- ### Training hyperparameters
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- The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 64
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- - eval_batch_size: 8
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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  Training Loss: 0.9446000
 
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  This model was trained in order to provide a model which can then be fine-tuned for other tasks in which SMILES data can be useful such as
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  predicting physical properties, chemical activity, or biological activity.
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  ### Training results
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  Training Loss: 0.9446000