Lora finetuning on Wikipedia-10, applying counter factual data augmentation (CDA)
- Dataset: Wikipedia-10
- Target modules = ["q_proj", "k_proj", "v_proj", "dense", "fc1", "fc2"]
{
"epoch": 0.060952845355012227,
"total_flos": 1.04520375926784e+18,
"train_loss": 0.5059917987585068,
"train_runtime": 72742.6851,
"train_samples": 1049992,
"train_samples_per_second": 0.88,
"train_steps_per_second": 0.027
}
Training script: https://github.com/ao9000/bias-bench/blob/main/experiments/run_clm.py
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