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sasuface/esm2-t12-35M-lora-64-remote-homology-filtered

sourceHugging Facemitupdated 2y agoView on Hugging Face
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esm2-t12-35M-lora-64-remote-homology-filtered

This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5657
  • —Precision: 0.7166
  • —Recall: 0.6986
  • —F1-score: 0.7075
  • —Accuracy: 0.7141

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: 3e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossPrecisionRecallF1-scoreAccuracy
0.61911.079690.61850.69190.58240.63250.6650
0.59212.0159380.58380.72010.63390.67420.6968
0.58743.0239070.57510.74390.61040.67050.7032
0.55934.0318760.56640.72100.68330.70160.7124
0.5765.0398450.56570.71660.69860.70750.7141

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.39.3
  • —Pytorch 2.1.2
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2