readme: ---
  language:
  - en
  thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
  tags:
  - text-classification
  - ag_news
  - pytorch
  license: mit
  datasets:
  - ag_news
  metrics:
  - accuracy
  ---
  
  # bert-base-uncased-ag-news
  
  ## Model description
  
  `bert-base-uncased` finetuned on the AG News dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 4 T4 GPUs, 4 epochs. [The code can be found here](https://github.com/nateraw/hf-text-classification)
  
  #### Limitations and bias
  
  - Not the best model...
  
  ## Training data
  
  Data came from HuggingFace's `datasets` package. The data can be viewed [on nlp viewer](https://huggingface.co/nlp/viewer/?dataset=ag_news).
  
  
  ## Training procedure
  
  ...
  
  ## Eval results
  
  ...