readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: T5-model-1-feedback-1109
    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-model-1-feedback-1109
  
  This model is a fine-tuned version of [theojolliffe/T5-model-1-d-6](https://huggingface.co/theojolliffe/T5-model-1-d-6) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2841
  - Rouge1: 91.4494
  - Rouge2: 86.4303
  - Rougel: 89.9713
  - Rougelsum: 90.045
  - Gen Len: 15.2875
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 359  | 0.3270          | 91.5397 | 86.6427 | 90.0821 | 90.1433   | 15.2875 |
  | 0.2963        | 2.0   | 718  | 0.2847          | 91.4494 | 86.4303 | 89.9713 | 90.045    | 15.2875 |
  | 0.2697        | 3.0   | 1077 | 0.2841          | 91.4494 | 86.4303 | 89.9713 | 90.045    | 15.2875 |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.9.0
  - Datasets 1.18.0
  - Tokenizers 0.10.3
  