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keanhean/esm2_t33_650M_UR50D-uniprot-7class

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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esm2t33650M_UR50D-uniprot-7class

This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4652
  • —Accuracy: 0.8605

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log0.984641.09800.6919
No log1.969280.94560.6919
No log2.9538120.82770.6919
No log3.9385160.73220.7267
No log4.9231200.65540.7616
No log5.9077240.59130.8198
No log6.8923280.53520.8314
No log7.8769320.49640.8314
No log8.8615360.47360.8547
No log9.8462400.46520.8605

Framework versions

  • —Transformers 4.40.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1