jarod0411/zinc10M_gpt2-medium_SMILES_step1

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zinc10Mgpt2-mediumSMILES_step1

This model is a fine-tuned version of gpt2-medium on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5598
• —Accuracy: 0.8151

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:

• —learning_rate: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10.0

Training results

Framework versions

• —Transformers 4.36.0.dev0
• —Pytorch 2.1.1+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0