readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2_tiny_zh-hk-wiki
    results: []
  language:
  - zh-
  datasets:
  - jed351/cantonese-wikipedia
  pipeline_tag: text-generation
  ---
  
  <!-- 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. -->
  
  # gpt2_tiny_zh-hk-wiki
  
  **This model was trained on a dataset with a 50MB size for 10 epochs only.**
  
  **Purely intended for research and testing purposes.**
  
  
  This model is a fine-tuned version of [jed351/gpt2-tiny-zh-hk](https://huggingface.co/jed351/gpt2-tiny-zh-hk) on the [cantonese-wikipedia](https://huggingface.co/datasets/jed351/cantonese-wikipedia) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3834
  
  ## 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: 200
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 412  | 3.6481          |
  | 4.0728        | 2.0   | 824  | 3.5399          |
  | 3.757         | 3.0   | 1236 | 3.4889          |
  | 3.6669        | 4.0   | 1648 | 3.4557          |
  | 3.6189        | 5.0   | 2060 | 3.4295          |
  | 3.6189        | 6.0   | 2472 | 3.4129          |
  | 3.5835        | 7.0   | 2884 | 3.3992          |
  | 3.5604        | 8.0   | 3296 | 3.3905          |
  | 3.5434        | 9.0   | 3708 | 3.3849          |
  | 3.537         | 10.0  | 4120 | 3.3834          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2