readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: TestZee/t5-small-finetuned-custom-wion-test
    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. -->
  
  # TestZee/t5-small-finetuned-custom-wion-test
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.9773
  - Validation Loss: 0.8028
  - 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': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 2.2933     | 0.9052          | 0     |
  | 2.3077     | 0.8923          | 1     |
  | 2.1972     | 0.8797          | 2     |
  | 2.1740     | 0.8677          | 3     |
  | 2.1535     | 0.8564          | 4     |
  | 2.1772     | 0.8452          | 5     |
  | 2.1227     | 0.8342          | 6     |
  | 2.0875     | 0.8234          | 7     |
  | 2.0279     | 0.8129          | 8     |
  | 1.9773     | 0.8028          | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Tokenizers 0.12.1
  