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README.md
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---
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license: mit
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language: en
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datasets:
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- EleutherAI/bergson-wikitext-512-chunks
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base_model: gpt2
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---
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# gpt-2-wikitext-chunks-epsroot-1e-6-bs64
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GPT-2 (124M) fine-tuned on [EleutherAI/bergson-wikitext-512-chunks](https://huggingface.co/datasets/EleutherAI/bergson-wikitext-512-chunks) with the [bergson](https://github.com/EleutherAI/bergson) MAGIC trainer, for use as a base model in training data attribution experiments.
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## Training details
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- Optimizer: AdamW (beta1=0.95, beta2=0.975, `eps_root=1e-6`, weight_decay=0.01)
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- Batch size: 64, epochs: 4, seed: 42, precision: fp32
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- LR: polynomial schedule, peak 8e-4, warmup 25%, end 8e-5
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- Trained with bergson 0.10.1 (git sha `27eb22b3`)
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## Replication
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The exact bergson run config is included as [`bergson_config.yaml`](./bergson_config.yaml). Replay it with:
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```bash
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bergson bergson_config.yaml
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```
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A companion model trained identically but with `eps_root=0` is available at [EleutherAI/gpt-2-wikitext-chunks-epsroot-0-bs64](https://huggingface.co/EleutherAI/gpt-2-wikitext-chunks-epsroot-0-bs64).
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