Gahow Wang
7d84a64f5c
New xtrain-train crate scaffold. Data pipeline reuses xserv's from-scratch GPT-2/Qwen BPE via a path-dep (../../../xserv/crates/xserv-tokenizer, resolves on both ~/projects and dash5 /opt/wjh/projects): Corpus::load tokenizes the corpus into one id stream and samples fixed-length (input, target) next-token windows (LCG-seeded, reproducible). Trims a range-downloaded file to whole stories (<|endoftext|> boundaries). Also the host-only training math: LrSchedule (linear warmup + cosine decay) and global L2 grad-norm + clip scale, each with a local unit test. Corpus: data/tinystories-valid-3mb.txt — first ~3MB of TinyStories-valid (fetched on dash5 via hf-mirror.com; HF direct unreachable). Substitution noted: a real TinyStories subset, not the full set. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
20 lines
330 B
TOML
20 lines
330 B
TOML
[workspace]
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resolver = "2"
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members = [
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"crates/xtrain-cuda",
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"crates/xtrain-tensor",
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"crates/xtrain-autodiff",
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"crates/xtrain-model",
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"crates/xtrain-optim",
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"crates/xtrain-train",
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]
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[workspace.package]
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version = "0.1.0"
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edition = "2024"
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license = "MIT"
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[workspace.dependencies]
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half = "2"
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smallvec = "1"
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