| { |
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| "expected_source_counts": { |
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| "historical_results": "Results measured with another sample count retain their original settings; this contract does not relabel them.", |
| "masking": { |
| "corruption": "replace every selected token with <mask>", |
| "eligible": "canonical amino-acid tokens only", |
| "minimum_targets": "one per protein when any eligible residue exists", |
| "probability": 0.15, |
| "rng": "PyTorch CUDA generator seeded with 20260821", |
| "runtime": "PyTorch 2.13.0; fixed batch shape 4 x 512" |
| }, |
| "protocol": "heldout-cluster-representative-mlm-v1", |
| "reduction": "mean over proteins of the mean masked-token negative log-likelihood per protein", |
| "sampling": { |
| "batch_grouping_fixed": true, |
| "crop": "random contiguous crop up to 510 residues, followed by BOS/EOS framing", |
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| "omg_img": 1.0, |
| "uniref90": 1.0 |
| }, |
| "source_choice": "NumPy default_rng; uniform mixture; source names sorted", |
| "source_rows": "source-specific shuffled rows without replacement within this sample" |
| }, |
| "schema_version": 1, |
| "settings": { |
| "batch_size": 4, |
| "batches": 1024, |
| "context_length": 512, |
| "sampling_seed": 20260821 |
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| "repo_id": "LuminScience/LuminBench-Nano-ESMC", |
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| "bytes": 926829, |
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| } |
| } |
|
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