01baef48ff
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.
14 lines
264 B
Plaintext
14 lines
264 B
Plaintext
# GPU training environment (.venv-train). The CPU runtime needs only
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# requirements.txt; nothing here is needed to score headlines.
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torch
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transformers
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sentencepiece
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tiktoken
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protobuf
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onnx
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onnxruntime
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onnxscript
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scikit-learn
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numpy
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pandas # eval scripts (spearman)
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