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---
license: llama2
---
# Lora finetuning on Wikipedia-10, applying counter factual data augmentation (CDA)
- Dataset: Wikipedia-10
- Target modules = ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"]
```
{
"epoch": 2.566261678495529,
"total_flos": 2.605973017460736e+18,
"train_loss": 0.7921548962593079,
"train_runtime": 150925.8962,
"train_samples": 24939,
"train_samples_per_second": 0.424,
"train_steps_per_second": 0.013
}
```
# Training script: https://github.com/ao9000/bias-bench/blob/main/experiments/run_clm.py
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