readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: T5-model-1-feedback-0810
    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-0810
  
  This model is a fine-tuned version of [theojolliffe/T5-model-1-feedback-0510](https://huggingface.co/theojolliffe/T5-model-1-feedback-0510) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1776
  - Rouge1: 94.0404
  - Rouge2: 91.0472
  - Rougel: 93.8927
  - Rougelsum: 93.9417
  - Gen Len: 15.5128
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 363  | 0.2000          | 93.0351 | 89.425  | 93.1359 | 93.2085   | 15.1538 |
  | 0.2311        | 2.0   | 726  | 0.1835          | 93.7371 | 90.8556 | 93.7891 | 93.8622   | 15.2051 |
  | 0.191         | 3.0   | 1089 | 0.1792          | 94.1894 | 91.4087 | 94.0525 | 94.0773   | 15.5128 |
  | 0.191         | 4.0   | 1452 | 0.1776          | 94.0404 | 91.0472 | 93.8927 | 93.9417   | 15.5128 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  