readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-detox
    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-base-detox
  
  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: 0.2615
  
  ## 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: 4
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.337         | 1.0   | 135  | 0.4810          |
  | 0.5238        | 2.0   | 270  | 0.3886          |
  | 0.4301        | 3.0   | 405  | 0.3378          |
  | 0.3755        | 4.0   | 540  | 0.3122          |
  | 0.3359        | 5.0   | 675  | 0.2910          |
  | 0.3068        | 6.0   | 810  | 0.2737          |
  | 0.2861        | 7.0   | 945  | 0.2710          |
  | 0.2744        | 8.0   | 1080 | 0.2617          |
  | 0.2649        | 9.0   | 1215 | 0.2630          |
  | 0.2585        | 10.0  | 1350 | 0.2615          |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.12.0.dev20220429
  - Datasets 2.1.0
  - Tokenizers 0.10.3
  