readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-ruspell-test
    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-ruspell-test
  
  This model is a fine-tuned version of [cointegrated/rut5-base](https://huggingface.co/cointegrated/rut5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3537
  - Rouge1: 5.6
  - Rouge2: 1.2
  - Rougel: 5.5333
  - Rougelsum: 5.5333
  - Gen Len: 11.968
  
  ## 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: 5e-05
  - train_batch_size: 48
  - eval_batch_size: 48
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
  | 0.7755        | 0.48  | 5000  | 0.4513          | 5.6    | 1.2    | 5.5333 | 5.5333    | 11.998  |
  | 0.6051        | 0.97  | 10000 | 0.3537          | 5.6    | 1.2    | 5.5333 | 5.5333    | 11.968  |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  