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This model is a peft version of the roberta-large finetuned on the mrpc task of glue dataset
Model Details
Model Description
This model is finetuned on the mrpc task of Glue dataset which essentially compares two statements and decides and gets a label as to if they are equivalent or not. Dataset example is shown below
The model was tested on the testing set and gave an accuracy of 86.6% and F1 score of 90%
Similar fine tuning and evaluation can be done on the other tasks of the GLUE dataset by loading the correspodning config files or defining appropriate LORA config uing sample code :
- Developed by: PEFT library example
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: roberta-large
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