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victornica/molgpt_selfies_100mzinc_384width

sourceHugging Facemitupdated 3y agoView on Hugging Face
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molgptselfies100mzinc_384width

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

  • —Loss: 0.5005

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: 0.0005
  • —trainbatchsize: 192
  • —evalbatchsize: 192
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 5000
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
0.5780.1500000.5535
0.55640.21000000.5450
0.54870.31500000.5389
0.54290.42000000.5336
0.53690.52500000.5275
0.53060.63000000.5213
0.52360.73500000.5146
0.51630.84000000.5079
0.50950.94500000.5022
0.50551.05000000.5005

Framework versions

  • —Transformers 4.33.1
  • —Pytorch 2.0.1
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3