readme: # Fine-tuned LongT5 for Conversational QA
  
  This model is a fine-tuned version of [long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) for the task of Conversational QA. The model was fine-tuned on the [SQuADv2](https://huggingface.co/datasets/squad_v2) and [CoQA](https://huggingface.co/datasets/coqa) datasets and on Tryolabs' own custom dataset, [TryoCoQA](https://github.com/tryolabs/TryoCoQA).
  
  An export of this model to the ONNX format is available at [tryolabs/long-t5-tglobal-base-blogpost-cqa-onnx](https://huggingface.co/tryolabs/long-t5-tglobal-base-blogpost-cqa-onnx).
  
  You can find the details on how we fine-tuned the model and built TryoCoQA on our blog post!
  
  You can also play with the model on the following [space](https://huggingface.co/spaces/tryolabs/blogpost-cqa).
  
  ## Results
  
  * Fine-tuning for 3 epochs on SQuADv2 and CoQA combined achieved a 74.29 F1 score on the test set.
  * Fine-tuning for 166 epochs on TryoCoQA achieved a 54.77 F1 score on the test set.