readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5_finetuned_genboolq
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # t5_finetuned_genboolq
  
  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:
  - Loss: 0.5011
  - Rouge1: 36.4881
  - Rouge2: 17.8649
  - Rougel: 34.2658
  - Rougelsum: 34.2336
  - Gen Len: 11.7003
  
  ## 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:
  - learning_rate: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.5854        | 1.0   | 2082 | 0.5182          | 35.5544 | 16.9686 | 33.3783 | 33.3536   | 11.5918 |
  | 0.5479        | 2.0   | 4164 | 0.4969          | 37.0664 | 18.2443 | 34.7139 | 34.6934   | 11.8662 |
  | 0.5405        | 3.0   | 6246 | 0.5011          | 36.4881 | 17.8649 | 34.2658 | 34.2336   | 11.7003 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  