readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: esm2_t12_35M_UR50D-finetuned-secondary-structure-classification
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # esm2_t12_35M_UR50D-finetuned-secondary-structure-classification
  
  This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.4108
  - Train Masked Accuracy: 0.8325
  - Validation Loss: 0.4586
  - Validation Masked Accuracy: 0.8119
  - 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 |
  |:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:|
  | 0.5809     | 0.7502                | 0.4764          | 0.8023                     | 0     |
  | 0.4534     | 0.8132                | 0.4564          | 0.8115                     | 1     |
  | 0.4108     | 0.8325                | 0.4586          | 0.8119                     | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - TensorFlow 2.10.0
  - Datasets 2.6.1
  - Tokenizers 0.11.0
  