Files
News-ML-Decoder/requirements-train.txt
Harwinder Sekhon 01baef48ff Initial import: XAUUSD news sentiment models, evals, and data tooling
TF-IDF baseline (news_sentiment.py, models/xauusd_sentiment.joblib) and the
two-head DeBERTa-v3-small transformer (transformer/, news_transformer.py)
with its Google News crawler and DeepSeek labeller (data_collect/), the
golden-set and archive evals (eval/), and the 2026-09-22 and 2026-09-27
results and progress notes.

Transformer weights (model.pt, model.onnx) and the crawl database are not
tracked; rebuild with transformer/train.py and transformer/export_onnx.py.
The DeepSeek label cache in data/ is tracked.
2026-09-27 19:22:30 -04:00

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# GPU training environment (.venv-train). The CPU runtime needs only
# requirements.txt; nothing here is needed to score headlines.
torch
transformers
sentencepiece
tiktoken
protobuf
onnx
onnxruntime
onnxscript
scikit-learn
numpy
pandas # eval scripts (spearman)