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vadams2327/esm2_t33_650M_UR50D-finetuned-localization

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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esm2t33650M_UR50D-finetuned-localization

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: 0.4879
  • —Accuracy: 0.8571

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: 3
  • —evalbatchsize: 3
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0350.80730.3143
No log2.0700.58590.8286
No log3.01050.48170.8
No log4.01400.49020.8
No log5.01750.48790.8571

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.3.1
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1