Model: ipryzk/deberta-large-finetuned
Author: ipryzk
Tags: pytorch, en, base_model:microsoft/deberta-large, base_model:finetune:microsoft/deberta-large, region:us
Base models (finetune): id: microsoft/deberta-large
Card 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! :)
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Created: 2024-12-30 04:32:35