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# Commands to run (Spec-RAG retrieval + sanity check + oracle)
Paths below use your env: `Spec-RAG`, `SpecBridge`, `De-SpecBridge`, `MassSpecGym_test.mgf`, and `out/retrieval/`.
---
## Improving retrieval performance (candidates_A / candidates_B)
- **`--ef-search 512`** (default): Higher FAISS HNSW `ef_search` at query time improves ANN recall. Increase to 1024 if you need better recall and can afford slower search.
- **`--formula-filter`**: When MGF has `FORMULA`/`formula`, restricts candidates to same-formula molecules (over-fetches from FAISS then reranks). Use this so Recall/Tanimoto improve when the library contains same-formula molecules.
- **`--chemberta-model`**: Must match the model used to build the library (`build_library.py --chemberta-model`). Default `Derify/ChemBERTa_augmented_pubchem_13m`. If your SpecBridge checkpoint was trained with a different ChemBERTa, set this and rebuild the library with that model.
- **Formula over-fetch**: `--formula-min-fetch`, `--formula-max-fetch`, `--formula-fetch-multiplier` control how many vectors are fetched when using `--formula-filter`; higher values can improve recall when formula buckets are large.
- **Rebuild FAISS with higher quality**: `python scripts/build_faiss.py --library-dir ... --ef-search 256` (default is now 256) before retrieving.
---
## 1) Build library (once)
```bash
cd /cluster/tufts/liulab/yiwan01/Spec-RAG
python scripts/build_library.py \
--smiles-path /cluster/tufts/liulab/yiwan01/De-SpecBridge/data/pubchem_clean.smi \
--out-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge
```
---
## 2) Build FAISS indices
```bash
python scripts/build_faiss.py \
--library-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library
```
---
## 3) Train mappers (only if using Variant A without --smited-mapper-ckpt)
```bash
python scripts/train_mapper.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_train.mgf \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--out-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/mappers \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge
```
---
## 4) Retrieve (Variants A, B, C)
**Variant A (SMI-TED only; pretrained mapper):**
```bash
python scripts/retrieve_generate.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--library-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--smited-mapper-ckpt /cluster/tufts/liulab/yiwan01/De-SpecBridge/runs/smited_mapper_final/mapper_best.pt \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--variant A \
--K 100 \
--ef-search 512 \
--formula-filter \
--out-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_A.jsonl
```
**Variant B (ChemBERTa retrieval; no mapper-dir needed):**
```bash
python scripts/retrieve_generate.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--library-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--variant B \
--K 100 \
--ef-search 512 \
--formula-filter \
--chemberta-model Derify/ChemBERTa_augmented_pubchem_13m \
--out-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B.jsonl
```
**Variant B formula-keyed candidate-pool mode (direct exact rerank inside the provided candidate pool; no dependency on library overlap, and no FAISS needed unless a query falls back):**
```bash
python scripts/retrieve_generate.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--library-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--variant B \
--K 100 \
--formula-filter \
--candidate-json /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_retrieval_candidates_formula.json \
--candidate-key-field formula \
--out-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B_benchmark.jsonl
```
`--candidate-key-field smiles_gt` is still supported, but it is oracle-only benchmarking because it selects the candidate pool using the ground-truth molecule.
**Variant C:**
```bash
python scripts/retrieve_generate.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--library-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--variant C \
--K 100 \
--out-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_C.jsonl
```
---
## 5) Evaluate spectrum-based retrieval (Recall + Tanimoto)
```bash
python scripts/evaluate_massspecgym.py \
--pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_A.jsonl \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_A.json \
--tanimoto
python scripts/evaluate_massspecgym.py \
--pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B.jsonl \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_B.json \
--tanimoto
python scripts/evaluate_massspecgym.py \
--pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_C.jsonl \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_C.json \
--tanimoto
```
---
## 6) Self-retrieval sanity check (Priority 2) — true mol embeddings
Index = test molecules only; query = same true molecule embeddings. **Expected Recall@1 ≈ 1.0** for both.
- If either fails → that embedding/index pipeline is broken.
- If ChemBERTa passes and SMI-TED fails → SMI-TED embedding issue.
- If both pass → issue is likely library coverage / eval mismatch.
```bash
python scripts/self_retrieval_sanity_check.py \
--pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B.jsonl \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/self_retrieval_report.json
```
(You can use any of `candidates_A.jsonl`, `candidates_B.jsonl`, or `candidates_C.jsonl`; they share the same `smiles_gt` per row.)
---
## 6b) Mapped-embedding self-retrieval sanity check
Index = **spectrum→mapper** embeddings of test set (same MGF); query = same mapped embeddings. **Expected Recall@1 ≈ 1.0.**
- Tests spectrum→ChemBERTa-mapped (SpecBridge) and spectrum→SMI-TED-mapped (DreamsToSmiTed or M_smi).
- If either fails → spectrum→mapped-embedding pipeline is broken.
```bash
# With De-SpecBridge SMI-TED mapper (recommended)
python scripts/self_retrieval_mapped_sanity_check.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--smited-mapper-ckpt /cluster/tufts/liulab/yiwan01/De-SpecBridge/runs/smited_mapper_final/mapper_best.pt \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/self_retrieval_mapped_report.json
```
If you use Spec-RAG mappers instead of the pretrained SMI-TED mapper:
```bash
python scripts/self_retrieval_mapped_sanity_check.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--mapper-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/mappers \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/self_retrieval_mapped_report.json
```
---
## 6c) True-index + Mapped-query sanity check
**Index** = true molecule embeddings (ChemBERTa/SMI-TED of test SMILES). **Query** = mapped embeddings (spectrum → mapper). So we build a tiny index from the test set’s true mol embeddings, then query with the spectrum→mapper embeddings. This tests how well the mapper aligns spectrum to molecule space (Recall@1/10/50).
```bash
python scripts/sanity_check_true_index_mapped_query.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--smited-mapper-ckpt /cluster/tufts/liulab/yiwan01/De-SpecBridge/runs/smited_mapper_final/mapper_best.pt \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/true_index_mapped_query_report.json
```
---
## 7) Oracle retrieval (true mol embedding vs library)
```bash
python scripts/evaluate_oracle_retrieval.py \
--pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B.jsonl \
--library-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--K 100 \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_oracle.json
```
---
## Minimal “all commands” copy-paste (after library + FAISS exist)
```bash
cd /cluster/tufts/liulab/yiwan01/Spec-RAG
# Self-retrieval sanity check — true mol embeddings (expect Recall@1 ≈ 1.0)
python scripts/self_retrieval_sanity_check.py \
--pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B.jsonl \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/self_retrieval_report.json
# Mapped-embedding self-retrieval (spectrum→mapper; expect Recall@1 ≈ 1.0)
python scripts/self_retrieval_mapped_sanity_check.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--smited-mapper-ckpt /cluster/tufts/liulab/yiwan01/De-SpecBridge/runs/smited_mapper_final/mapper_best.pt \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/self_retrieval_mapped_report.json
# True-index + Mapped-query (index = true mol emb, query = spectrum→mapper)
python scripts/sanity_check_true_index_mapped_query.py \
--mgf-path /cluster/tufts/liulab/yiwan01/SpecBridge/data/MassSpecGym_test.mgf \
--specbridge-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/runs/specbridge_align_chemberta_pub_v3g_msgym_mapper_spec/ckpt_001200.pt \
--dreams-ckpt /cluster/tufts/liulab/yiwan01/SpecBridge/data/ssl_model.ckpt \
--smited-mapper-ckpt /cluster/tufts/liulab/yiwan01/De-SpecBridge/runs/smited_mapper_final/mapper_best.pt \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/true_index_mapped_query_report.json
# Oracle retrieval (true mol embedding vs library)
python scripts/evaluate_oracle_retrieval.py \
--pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B.jsonl \
--library-dir /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/library \
--despecbridge-path /cluster/tufts/liulab/yiwan01/De-SpecBridge \
--K 100 \
--report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_oracle.json
# Spectrum-based eval (if you have candidates_*.jsonl)
python scripts/evaluate_massspecgym.py --pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_A.jsonl --report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_A.json --tanimoto
python scripts/evaluate_massspecgym.py --pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_B.jsonl --report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_B.json --tanimoto
python scripts/evaluate_massspecgym.py --pred-jsonl /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/candidates_C.jsonl --report /cluster/tufts/liulab/yiwan01/Spec-RAG/out/retrieval/metrics_C.json --tanimoto
```