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--- |
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license: mit |
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--- |
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Lora finetuning on Wikipedia-10, applying counter factual data augmentation (CDA) |
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Dataset: Wikipedia-10 |
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Target modules = ["q_proj", "k_proj", "v_proj", "dense", "fc1", "fc2"] |
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``` |
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{ |
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"epoch": 0.22326645805206993, |
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"total_flos": 1.04520375926784e+18, |
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"train_loss": 2.3526821104288103, |
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"train_runtime": 66080.1443, |
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"train_samples": 286653, |
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"train_samples_per_second": 0.969, |
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"train_steps_per_second": 0.03 |
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} |
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``` |
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Training script: https://github.com/ao9000/bias-bench/blob/main/experiments/run_clm.py |
