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qunfengd/esm2_t12_35M_UR50D-finetuned-AMP_Antibacteria-classification

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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esm2t1235MUR50D-finetuned-AMPAntibacteria-classification

This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:

  • —Train Loss: 0.1606
  • —Train Accuracy: 0.9325
  • —Validation Loss: 0.6329
  • —Validation Accuracy: 0.7896
  • —Epoch: 4

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:

  • —optimizer: {'name': 'AdamWeightDecay', 'learningrate': 2e-05, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weightdecay_rate': 0.0}
  • —training_precision: float32

Training results

Train LossTrain AccuracyValidation LossValidation AccuracyEpoch
0.35650.83590.53930.76010
0.27440.87890.56570.76971
0.22670.90160.52960.78852
0.18440.92470.60850.78253
0.16060.93250.63290.78964

Framework versions

  • —Transformers 4.40.1
  • —TensorFlow 2.15.0
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1