readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: speller-t5
    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. -->
  
  # speller-t5
  
  This model is a fine-tuned version of [summervent/speller-t5](https://huggingface.co/summervent/speller-t5) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3569
  - Rouge1: 14.5717
  - Rouge2: 5.4522
  - Rougel: 14.6057
  - Rougelsum: 14.7357
  - Gen Len: 30.8324
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 0.6467        | 0.22  | 1500 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |
  | 0.6408        | 0.44  | 3000 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |
  | 0.6343        | 0.66  | 4500 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |
  | 0.6372        | 0.87  | 6000 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  