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raghvendramall/esm2_t30_150M_UR50D-finetuned-localization

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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esm2t30150M_UR50D-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: 1.8191
  • —F1: 0.7240

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
0.44361.077780.44390.7285
0.3742.0155560.48060.7428
0.27863.0233340.80670.7243
0.15244.0311121.33230.7261
0.10355.0388901.37540.7227
0.05326.0466681.49620.7165
0.03797.0544461.54340.7173
0.03198.0622241.65610.7201
0.01819.0700021.73440.7259
0.005610.0777801.81910.7240

Framework versions

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