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jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step2

sourceHugging Facemitupdated 3y agoView on Hugging Face
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zinc10Mgpt2SMILESbpecombined_step2

This model is a fine-tuned version of jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3606
  • —Accuracy: 0.8815

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

Training LossEpochStepValidation LossAccuracy
0.40671.0180430.39100.8735
0.39252.0360860.37970.8765
0.38493.0541290.37370.8781
0.37994.0721720.36960.8792
0.37625.0902150.36680.8799
0.37346.01082580.36460.8805
0.37127.01263010.36300.8809
0.36968.01443440.36170.8812
0.36859.01623870.36090.8815
0.367610.01804300.36060.8815

Framework versions

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