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metadata
license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: esm2_t12_35M_UR50D-finetuned-secondary-structure-classification
    results: []

esm2_t12_35M_UR50D-finetuned-secondary-structure-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: 0.4076
  • Train Masked Accuracy: 0.8342
  • Validation Loss: 0.4714
  • Validation Masked Accuracy: 0.8060
  • Epoch: 2

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', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
  • training_precision: float32

Training results

Train Loss Train Masked Accuracy Validation Loss Validation Masked Accuracy Epoch
0.5874 0.7454 0.4908 0.7962 0
0.4503 0.8156 0.4703 0.8043 1
0.4076 0.8342 0.4714 0.8060 2

Framework versions

  • Transformers 4.25.1
  • TensorFlow 2.9.2
  • Datasets 2.7.1
  • Tokenizers 0.13.2