readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-ost
    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-ost
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0581
  
  ## 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: 0.0005
  - 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
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.5695        | 0.39  | 500  | 0.0591          |
  | 0.0606        | 0.77  | 1000 | 0.0588          |
  | 0.0575        | 1.16  | 1500 | 0.0588          |
  | 0.0551        | 1.55  | 2000 | 0.0586          |
  | 0.0549        | 1.93  | 2500 | 0.0581          |
  | 0.0487        | 2.32  | 3000 | 0.0597          |
  | 0.0478        | 2.71  | 3500 | 0.0594          |
  | 0.0463        | 3.1   | 4000 | 0.0624          |
  | 0.0404        | 3.48  | 4500 | 0.0625          |
  | 0.041         | 3.87  | 5000 | 0.0617          |
  | 0.0366        | 4.26  | 5500 | 0.0656          |
  | 0.0347        | 4.64  | 6000 | 0.0658          |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.0
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  