readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: lol
    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. -->
  
  # lol
  
  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: 1.6366
  
  ## 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: 0.0001
  - train_batch_size: 10
  - eval_batch_size: 10
  - seed: 42
  - gradient_accumulation_steps: 10
  - total_train_batch_size: 100
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.0118        | 1.4   | 7    | 2.1901          |
  | 2.1915        | 2.8   | 14   | 1.8797          |
  | 1.8529        | 4.2   | 21   | 1.7159          |
  | 1.7081        | 5.6   | 28   | 1.6536          |
  | 1.623         | 7.0   | 35   | 1.6366          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  