metadata
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! :)