The base model is the [GPT-2 Updown](https://huggingface.co/microsoft/DialogRPT-updown) model

The training, validaiton test data come from the [financial phrasebank](https://huggingface.co/datasets/financial_phrasebank) dataset.
The training data is a data subset in which [all annotators agreed](https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_allagree) on the label.
The validation data is a data subset in which [75% annotators agreed](https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_75agree) on the label.
The testing data is a data subset in which [66% annotators agreed](https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_66agree) on the label.


The reported macro F1 score for this model on the validation set is: 0.9046

The reported macro F1 score for this model on the test set is: 0.83.





{"language": ["en"]}
transformers safetensors gpt2 text-classification en autotrain_compatible endpoints_compatible text-generation-inference region:us