readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: T5-model-1-feedback-0510
    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-0510
  
  This model is a fine-tuned version of [theojolliffe/T5-model-1-feedback-1109](https://huggingface.co/theojolliffe/T5-model-1-feedback-1109) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2334
  - Rouge1: 91.6115
  - Rouge2: 86.7084
  - Rougel: 91.0616
  - Rougelsum: 91.1197
  - Gen Len: 14.7895
  
  ## 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: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.4381        | 1.0   | 542  | 0.2731          | 90.324  | 84.2616 | 89.0178 | 89.1459   | 14.5614 |
  | 0.2999        | 2.0   | 1084 | 0.2374          | 91.6458 | 86.2909 | 90.8275 | 90.8257   | 14.7719 |
  | 0.273         | 3.0   | 1626 | 0.2382          | 91.4445 | 86.8218 | 91.1231 | 91.0886   | 14.8947 |
  | 0.2248        | 4.0   | 2168 | 0.2334          | 91.6115 | 86.7084 | 91.0616 | 91.1197   | 14.7895 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  