047da10123
Review pass before running on b200. 27B model + 100+ story corpus means any misconfiguration costs real time; better to fail before model load and give visible progress during forwards. * Pre-load-model validation: stories-dir and paired-dir exist, corpus has >= min_positives emotions. * Per-batch progress log every 5 batches with elapsed + ETA. * Relative depth printed for target layers (e.g. "layer 40 (51%)"). * Skip empty .txt files with a warning rather than feeding the tokenizer an empty string. * Assert non-empty strings in _collect_activations. Co-Authored-By: Proof of Concept <poc@bcachefs.org> |
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| .. | ||
| amygdala_stories | ||
| amygdala_training | ||
| apollo_plugin | ||
| research | ||
| DESIGN.md | ||
| pyproject.toml | ||