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sasuface/esm2-t36-3B-lora-16-remote-homology-filtered

sourceHugging Facemitupdated 2y agoView on Hugging Face
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esm2-t36-3B-lora-16-remote-homology-filtered

This model is a fine-tuned version of facebook/esm2_t36_3B_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4403
  • —Precision: 0.7922
  • —Recall: 0.8139
  • —F1-score: 0.8029
  • —Accuracy: 0.7990

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: 0.0002
  • —trainbatchsize: 96
  • —evalbatchsize: 96
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 192
  • —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
0.5350.99926640.51860.80020.66300.72520.7472
0.49462.013290.50650.69450.89690.78280.7496
0.47272.999219930.45920.79170.78760.78970.7889
0.44394.026580.44710.80870.77980.79400.7964
0.42344.996233200.44030.79220.81390.80290.7990

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.40.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1