readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - web_nlg
  model-index:
  - name: stog-t5-small
    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. -->
  
  # stog-t5-small
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the web_nlg dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1414
  
  ## 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: 0.001
  - train_batch_size: 16
  - eval_batch_size: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 0.12  | 100  | 0.4625          |
  | No log        | 0.24  | 200  | 0.3056          |
  | No log        | 0.36  | 300  | 0.2393          |
  | No log        | 0.48  | 400  | 0.1999          |
  | No log        | 0.61  | 500  | 0.1740          |
  | No log        | 0.73  | 600  | 0.1562          |
  | No log        | 0.85  | 700  | 0.1467          |
  | No log        | 0.97  | 800  | 0.1418          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  