rewire.itbenchmarks
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ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire) (FLIP2 Rhomax by_wild_type)

ESM-2 is a family of protein sequence encoders that produce representations for downstream protein analyses.

Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json

1 evaluation · 2 results

How it worksESM-2 workflow
ESM-2 workflow1. Protein sequence. Then: 2. Transformer layers. Then: 3. Residue embeddings. Then: 4. Specified downstream analysisESM-2 workflow1. Protein sequence. Then: 2. Transformer layers. Then: 3. Residue embeddings. Then: 4. Specified downstream analysisESM-2 workflow1. Protein sequence. Then: 2. Transformer layers. Then: 3. Residue embeddings. Then: 4. Specified downstream analysis

Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.

Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json

Overview

Model type

Masked-token protein transformer encoder

Inputs

Single amino-acid sequences.

Outputs

Residue embeddings, sequence representations and masked-token predictions.

Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json

limited source coverage · Automated source review, 2026-09-23. All specifications and missing details

Evaluations and results

1 evaluation · 2 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire) (FLIP2 Rhomax by_wild_type)Protocol: FLIP2 Rhomax by_wild_type
Dataset subset: FLIP2 Rhomax by_wild_type test subset
0.907 ndcg
dimensionless · higher

Uncertainty: Not reported

Coverage: 184/184

Rewire evaluation · Source checked
Methods, coverage and source

ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire) on FLIP2 Rhomax by_wild_type

FLIP2 Rhomax by_wild_type

Aggregation: Not reported

ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire): report; ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire): audit · metrics.ndcg
Configuration: ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire) (FLIP2 Rhomax by_wild_type)Protocol: FLIP2 Rhomax by_wild_type
Dataset subset: FLIP2 Rhomax by_wild_type test subset
-0.222 spearman
dimensionless · higher

Uncertainty: Not reported

Coverage: 184/184

Rewire evaluation · Source checked
Methods, coverage and source

ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire) on FLIP2 Rhomax by_wild_type

FLIP2 Rhomax by_wild_type

Aggregation: Not reported

ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire): report; ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire): audit · metrics.spearman

Source checking is not independent reproduction. Release 2026-09-28-c7b5ac6d34f2.

Use this model

How it works, versions and access

Related profile: ESM-2. This page retains the exact record and its evaluation context.

This configuration

Frozen features with a fixed alpha-10 ridge head fitted only on training rows; all 184 Rhomax by_wild_type held-out proteins scored. This selected split is not a whole FLIP2 score.

record
ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire) (FLIP2 Rhomax by_wild_type)
configuration
Not reported
entity type
Configuration

How it works

How it works

ESM-2 tokenizes an amino-acid sequence and uses a transformer encoder trained to recover masked residues. Self-attention lets each residue representation depend on its sequence context. The released model returns token probabilities and embeddings; a specified pooling rule, task head or complete folding pipeline is needed for a particular biological prediction.

Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
Versions and reproducibility

ESM-2 checkpoint identifiers encode layer count, parameter scale and training-data tag. The checked esm2_t33_650M_UR50D configuration lists max_position_embeddings=1,026. This configuration field includes model positions and is not a claim of training or validated inference on 1,026 amino acids.

Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
Strengths, limitations and unresolved questions

Strengths and limitations

Profile review details

Follow-up review of Reference checkpoint, Context limits, Training data release, Training cutoff. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied.

Stable record: discovery-model-esm-2

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-23. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeMasked-token protein transformer encoder
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
ArchitectureMasked-token protein transformer encoder; the checked 650M checkpoint has 33 layers, hidden width 1,280, 20 attention heads and rotary positional encoding.
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
InputsSingle amino-acid sequences.
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
OutputsResidue embeddings, sequence representations and masked-token predictions.
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
ParametersReleased scales: 8M, 35M, 150M, 650M, 3B and 15B.
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
Known versionsESM-2 checkpoint identifiers encode layer count, parameter scale and training-data tag.
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
Training dataUniRef50 clusters with UniRef90 sampling; the pretrained-model table labels UR50/D 2021_04.
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
Training cutoffThe inspected official table establishes an April 2021 UniRef release, but no separate latest-deposited-sequence date. Keep the corpus release distinct from a temporal leakage guarantee. · Not reported in inspected sources
Sourcesfacebookresearch/esm: README.md · README: Pre-trained Models and Pre-training Dataset Split
Context limitsThe official extraction script truncates to 1,022 residues by default; --truncation_seq_length is configurable. This workflow default is not a universal architecture or validated biological-context limit.
Sourcesesm2 extract: primary artifact · create_parser: --truncation_seq_length; run: get_batch_converter
Weights licenceThe official facebook/esm2_t33_650M_UR50D model card declares MIT; this is the inspected checkpoint, not a licence inference from source code.
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
AccessOfficial project documentation and implementation: https://github.com/facebookresearch/esm
Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json
Code licenceMIT
Sourcesfacebookresearch/esm: LICENSE · LICENSE: licence text
Reference checkpointExample release: facebook/esm2_t33_650M_UR50D at 08e4846e537177426273712802403f7ba8261b6c. Its model.safetensors has registry-reported SHA-256 a08adabb949fa67ad3c14b509d04fd60368b35007b0095e3358f81200c4f4db0. This identifies a downloadable 650M checkpoint, not every ESM-2 evaluation.
Sourcesesm2 release: primary artifact · sha; siblings[model.safetensors].lfs.sha256
Training data releaseThe official pretrained-model table labels ESM-2 training data UR50/D 2021_04.
Sourcesfacebookresearch/esm: README.md · README: Pre-trained Models table, ESM-2 rows

Evidence

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Evidence table

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1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-28-c7b5ac6d34f2
Property and statementOriginal source and locationReview and provenance
Relationship: family
discovery-model-esm-2
Individual claims
ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire): report

Original source ↗

model_configuration.checkpoint; model.name

Version: 1663d1f04b2bbd6dfcff77fea78129d30b0de191
Retrieved: 2026-09-22T21:18:22Z

source checked

automated execution evidence review · 2026-09-22T21:18:22Z

Audit details

Field: links:family:discovery-model-esm-2

Claim: rewire-local-20260921-configuration-esm2-35m-family

Source artifact SHA-256: 29d7c0ae7f47d45861a769eb8813bf8c650c9a95b3a6821c524b216b0b907ef0

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

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Release 2026-09-28-c7b5ac6d34f2 · Record review: source checked

2 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: rewire-local-20260921-configuration-esm2-35m

areas
proteins-complexes
source locator
model; model_configuration; protocol_configuration.embedding_probe; execution
configuration
checkpoint: esm2_t12_35M_UR50D; device: cpu; dimension: 480; encoder frozen: true; head: alpha: 10; feature scaling: none; fit intercept: true; max iter: 1000000; name: rewire-frozen-embedding-ridge-v1; refit: train only; relationship to published baseline: Frozen-embedding extension of upstream alpha-10 ridge. The published baseline uses one-hot features and scales targets using train plus validation rows. This extension is not that published baseline.; solver: auto; target scaling: StandardScaler fitted only on train labels; tol: 0.00001; validation use: none; fixed hyperparameters; pooling: mean over residues excluding BOS/EOS and padding; representation layer: 12; scope: one complete Rhomax split, not FLIP2 suite; torch seed: 0; torch threads: 4; validation used: false
execution
adapter: ESM2Embeddings; adapter provenance: checkpoint sha256: 7f21e80e61d16a71735163ef555d3009afb0c98da74c48e29df08606973cc55e; checkpoint url: https://dl.fbaipublicfiles.com/fair-esm/models/esm2_t12_35M_UR50D.pt; device: cpu; fair esm version: 2.0.0; implementation sha256: bb46676af95050012cf0bf8a8309581b400f660d2722519889693f4084559d73; maximum sequence length: 1022; model: esm2_t12_35M_UR50D; published result reproduction: false; reference: https://github.com/facebookresearch/esm/blob/2b369911bb5b4b0dda914521b9475cad1656b2ac/README.md#usage; representation layer: 12; strategy: frozen_final_layer_residue_mean_excluding_special_tokens; training overlap: unreported; UniRef50 pretraining may overlap benchmark proteins; batch size: 4; fitting: protocol_owned_probe; inference and fit seconds: 64.14407666699844; mode: local_adapter; prediction type: embedding
model
name: ESM-2 35M frozen residue-mean embeddings + fixed ridge (Rewire); training overlap: UniRef50 pretraining overlap is unreported; the linear head fits only archived training rows
environment
architecture: arm64; container digest: unreported; container runtime: unreported; platform: macOS-26.6.2-arm64-arm-64bit; python: 3.11.13; rewirebench: 0.4.0; sdk code sha256: 08cbbaac2aa8f60af5c43af7a83410e9690b44c5e4d162fbe1e5766885952fce; sif sha256: unreported
training overlap
UniRef50 pretraining overlap is unreported; the linear head fits only archived training rows
method role
frozen pretrained encoder plus trained regression head
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