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Upload TFEsmForSequenceClassification
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metadata
license: mit
base_model: facebook/esm2_t12_35M_UR50D
tags:
  - generated_from_keras_callback
model-index:
  - name: esm2_t12_35M_UR50D-finetuned-cytosol-membrane-classification
    results: []

esm2_t12_35M_UR50D-finetuned-cytosol-membrane-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: 0.0922
  • Train Accuracy: 0.9713
  • Validation Loss: 0.1652
  • Validation Accuracy: 0.9507
  • 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 Accuracy Validation Loss Validation Accuracy Epoch
0.2384 0.9238 0.1895 0.9398 0
0.1386 0.9546 0.1807 0.9468 1
0.0922 0.9713 0.1652 0.9507 2

Framework versions

  • Transformers 4.35.0
  • TensorFlow 2.14.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1