CoolFace
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mcneela/protein-lm-gb1

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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protein-lm-gb1

This model was trained from scratch on the gb1 dataset. It achieves the following results on the evaluation set:

  • Loss: 4.9175
  • Mse: 4.9175
  • Rmse: 2.2175
  • Mae: 1.9137
  • R2: -0.0720
  • Smape: 79.2041

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: 2e-05
  • trainbatchsize: 64
  • evalbatchsize: 20
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossMseRmseMaeR2Smape
5.2021.075394.90904.90902.21561.9131-0.070279.1446
5.2472.0150784.98494.98492.23271.9185-0.086779.6722
5.21293.0226174.91754.91752.21751.9137-0.072079.2041

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2