Instructions to use JoshuaAshkinaze/argument-support with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JoshuaAshkinaze/argument-support with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("answerdotai/ModernBERT-base") model = PeftModel.from_pretrained(base_model, "JoshuaAshkinaze/argument-support") - Notebooks
- Google Colab
- Kaggle
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"target_modules": "Wqkv"
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Here is a cleaner version:
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The
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## Test metrics
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```json
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{
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"target_modules": "Wqkv"
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```
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The other hyperparameters used the Transformers Trainer defaults. Training used early stopping with a patience of 2; we report test set performance from the best checkpoint, selected by validation loss at epoch 8. The test Spearman's rho exceeds the average inter-annotator agreement, measured as each annotator's rho with the mean of all other annotators.
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## Test metrics
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```json
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{
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