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Lora finetuning on Wikipedia-10, applying counter factual data augmentation (CDA)
- Dataset: Wikipedia-10
- Target modules = ["query", "value"]
{
"epoch": 0.06122556358609606,
"total_flos": 3.3909236563968e+16,
"train_loss": 0.9592373611629009,
"train_runtime": 5840.6966,
"train_samples": 1045315,
"train_samples_per_second": 10.958,
"train_steps_per_second": 0.342
}
Training script: https://github.com/ao9000/bias-bench/blob/main/experiments/run_clm.py
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