readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: gogzy/t5-base-finetuned_renre_2021_70_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_2021_70_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: 2.9249
  - Validation Loss: 3.4095
  - Train Rouge1: 23.3982
  - Train Rouge2: 19.6757
  - Train Rougel: 22.3564
  - Train Rougelsum: 22.8412
  - 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 |
  |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
  | 9.7749     | 6.6798          | 18.9434      | 12.6370      | 16.9890      | 17.7338         | 19.0          | 0     |
  | 4.9973     | 4.2477          | 22.6855      | 17.2847      | 21.5463      | 21.7509         | 19.0          | 1     |
  | 3.5151     | 3.8275          | 23.5077      | 18.3312      | 21.6536      | 21.9844         | 19.0          | 2     |
  | 3.2552     | 3.5650          | 22.6213      | 18.1468      | 21.3466      | 21.8323         | 19.0          | 3     |
  | 2.9249     | 3.4095          | 23.3982      | 19.6757      | 22.3564      | 22.8412         | 19.0          | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  