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