readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: T5-model-1-feedback-0611-4e
    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-0611-4e
  
  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: 0.1221
  - Rouge1: 93.9996
  - Rouge2: 89.632
  - Rougel: 93.4347
  - Rougelsum: 93.4442
  - Gen Len: 15.0185
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.2124        | 1.0   | 2571  | 0.1594          | 93.667  | 89.1053 | 93.052  | 93.0963   | 15.1218 |
  | 0.1531        | 2.0   | 5142  | 0.1413          | 94.2879 | 89.9026 | 93.6752 | 93.7059   | 15.0332 |
  | 0.1347        | 3.0   | 7713  | 0.1263          | 94.2554 | 90.1846 | 93.726  | 93.7635   | 15.0369 |
  | 0.142         | 4.0   | 10284 | 0.1221          | 93.9996 | 89.632  | 93.4347 | 93.4442   | 15.0185 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  