readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: gogzy/t5-base-finetuned_renre_item1
    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. -->
  
  # gogzy/t5-base-finetuned_renre_item1
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 8.5613
  - Validation Loss: 6.0177
  - Train Rouge1: 9.4862
  - Train Rouge2: 6.3745
  - Train Rougel: 7.9051
  - Train Rougelsum: 9.4862
  - Train Gen Len: 19.0
  - Epoch: 4
  
  ## 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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
  |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
  | 13.9387    | 10.3276         | 7.1429       | 1.6          | 4.7619       | 5.5556          | 19.0          | 0     |
  | 12.7511    | 9.4693          | 8.7302       | 4.8          | 7.1429       | 7.9365          | 19.0          | 1     |
  | 11.3785    | 8.4321          | 8.7302       | 4.8          | 7.1429       | 7.9365          | 19.0          | 2     |
  | 9.9856     | 7.2054          | 8.7302       | 4.8          | 7.1429       | 7.9365          | 19.0          | 3     |
  | 8.5613     | 6.0177          | 9.4862       | 6.3745       | 7.9051       | 9.4862          | 19.0          | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  