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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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Safetensors

Model size

124M params

Tensor type

BF16

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