readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model_index:
  - name: t5-finetuned-for-GEC
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      metric:
        name: Bleu
        type: bleu
        value: 0.3571
  ---
  
  <!-- 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-finetuned-for-GEC
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unkown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3949
  - Bleu: 0.3571
  - Gen Len: 19.0
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
  | 0.3958        | 1.0   | 4053  | 0.4236          | 0.3493 | 19.0    |
  | 0.3488        | 2.0   | 8106  | 0.4076          | 0.3518 | 19.0    |
  | 0.319         | 3.0   | 12159 | 0.3962          | 0.3523 | 19.0    |
  | 0.3105        | 4.0   | 16212 | 0.3951          | 0.3567 | 19.0    |
  | 0.3016        | 5.0   | 20265 | 0.3949          | 0.3571 | 19.0    |
  
  
  ### Framework versions
  
  - Transformers 4.9.1
  - Pytorch 1.9.0+cu102
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  