readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: esm2_t6_8M_UR50D-finetuned-Xmas-project
    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_t6_8M_UR50D-finetuned-Xmas-project
  
  This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 56.7855
  - Validation Loss: 101.4410
  - Epoch: 9
  
  ## 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 | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 494.7048   | 197.2008        | 0     |
  | 149.9308   | 127.9843        | 1     |
  | 110.7755   | 105.5121        | 2     |
  | 94.8339    | 100.2063        | 3     |
  | 83.1885    | 101.8379        | 4     |
  | 75.9772    | 108.3454        | 5     |
  | 69.3844    | 110.1212        | 6     |
  | 64.3868    | 97.5026         | 7     |
  | 60.4573    | 100.1366        | 8     |
  | 56.7855    | 101.4410        | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  