---
language:
- en
metrics:
- accuracy:96%
- loss: 0.266
base_model:
- microsoft/deberta-large
data:
- stored within this directory (respectively training_set and validation_set for training and validation)
notes:
- Howdy! This is Ian Prazak's fine-tuned DeBERTa Large model.
- The model was trained over 3 epochs with a dataset of approximately 30,000 formatted examples in JSONL.
- The base DeBERTa Large tokenizer was used.
- The metrics listed above represent the final validation loss and accuracy before any signs of overfitting were observed.
- Thank you for checking it out! :)
---