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raghvendramall/esm2_t30_150M_UR50D-crystallization-finetuned-localization

sourceHugging Facemitupdated 3y agoView on Hugging Face
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esm2t30150M_UR50D-crystallization-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.4161
  • —F1: 0.5994

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: 1e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
0.39481.010650.39290.6516
0.26782.021300.46470.6237
0.15243.031950.69840.6356
0.0724.042600.94480.6312
0.03415.053251.11570.6099
0.01456.063901.20510.6144
0.00797.074551.32590.6149
0.0078.085201.34180.6008
0.00279.095851.39210.6001
0.001410.0106501.41610.5994

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.1
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3