readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: T5-model-1-feedback-3110
    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-3110
  
  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: 0.1605
  - Rouge1: 91.3604
  - Rouge2: 86.1024
  - Rougel: 90.6798
  - Rougelsum: 90.7011
  - Gen Len: 15.7167
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.2711        | 1.0   | 2279 | 0.2176          | 90.3305 | 83.9311 | 89.4476 | 89.4573   | 15.7    |
  | 0.1709        | 2.0   | 4558 | 0.1759          | 91.3226 | 85.9979 | 90.7558 | 90.7395   | 15.5667 |
  | 0.1644        | 3.0   | 6837 | 0.1641          | 91.8385 | 86.7529 | 91.1621 | 91.1492   | 15.6792 |
  | 0.1606        | 4.0   | 9116 | 0.1605          | 91.3604 | 86.1024 | 90.6798 | 90.7011   | 15.7167 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  