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raghvendramall/esm2_t6_8M_UR50D-crystallization-finetuned-localization

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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esm2t68M_UR50D-crystallization-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4286
  • —F1: 0.6192

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
No log1.02670.44630.4978
0.46392.05340.41970.6117
0.46393.08010.41220.6221
0.36714.010680.40690.6219
0.36715.013350.40590.6069
0.3136.016020.41150.6238
0.3137.018690.41540.6285
0.27648.021360.42000.6182
0.27649.024030.42880.5987
0.246310.026700.42860.6192

Framework versions

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