Add per-category BoW shift validation and canary MIA benchmark link

Update README: replace DeepSeek with StarCoder2-7B

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Revert deepseek-coder-6.7b/dp8/tokenizer/tokenizer_config.json to original training tokenizer

Revert deepseek-coder-6.7b/dp8/tokenizer/tokenizer.json to original training tokenizer

Revert deepseek-coder-6.7b/dp3/tokenizer/tokenizer_config.json to original training tokenizer

Revert deepseek-coder-6.7b/dp3/tokenizer/tokenizer.json to original training tokenizer

Revert deepseek-coder-6.7b/base/tokenizer/tokenizer_config.json to original training tokenizer

Revert deepseek-coder-6.7b/base/tokenizer/tokenizer.json to original training tokenizer

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Fix GPU counts: 4 for Granite, 8 for DeepSeek/Qwen; correct effective batch sizes

Add hardware details and per-model effective batch sizes

Add model card

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Delete granite-4.0-h-tiny/base

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Delete files adapter/ epochs/ tensorboard/ tokenizer/ .gitattributes audit_results.json audit_scores.npz canary_meta.json codecarbon.csv metrics.jsonl pretrain_lm_head.pt resolved_config.yaml scalars.csv summary.json train.log with huggingface_hub

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initial commit