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victornica/molgenscuffed_broken_molgptlike

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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molgenscuffedbrokenmolgptlike

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5715

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: 0.0004
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 256
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 2

Training results

Training LossEpochStepValidation Loss
1.18830.210000.8841
0.83940.420000.7709
0.76270.630000.7187
0.71910.840000.6829
0.68411.0150000.6522
0.64971.2160000.6250
0.62541.4170000.6005
0.60381.6180000.5819
0.58931.8190000.5715

Framework versions

  • —Transformers 4.30.2
  • —Pytorch 2.0.0
  • —Datasets 2.1.0
  • —Tokenizers 0.13.3