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# 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 x epochs on SQuADv2 and CoQA combined achieved a xx F1 score on the test set.
* Fine-tuning for x epochs on TryoCoQA achieved a xx F1 score on the test set. |