Model

TAPE Bepler

The TAPE Bepler comparison uses a protein representation that combines bidirectional language modelling with supervised structural pretraining.

Sources (8)

songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3

5 evaluations · 5 results

How it worksTAPE Bepler workflow

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

Sources (8)

Overview

Model type

Bidirectional recurrent protein representation with structural pretraining

Inputs

Protein sequences for the task-specific TAPE evaluation.

Outputs

Protein representations followed by the applicable TAPE prediction head.

Access

Official project documentation and implementation: https://github.com/songlab-cal/tape

Sources (8)

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

5 evaluations · 5 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Model: TAPE Bepler	Task: TAPE Fluorescence Dataset: TAPE Fluorescence source dataset	0.33 Spearman's rho correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source TAPE Fluorescence Bepler leaderboard evaluation Train/validation at most 3 mutations; test 4–15 mutations from the GFP parent Aggregation: Not reported songlab-cal/tape official source; tape primary benchmark evidence · README.md > Leaderboard > Fluorescence; row Bepler; column Spearman's rho
Model: TAPE Bepler	Task: TAPE Stability Dataset: TAPE Stability source dataset	0.64 Spearman's rho correlation · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source TAPE Stability Bepler leaderboard evaluation Test 17 one-mutation neighbourhoods around candidate proteins; train on broad experimental design rounds Aggregation: Not reported songlab-cal/tape official source; tape primary benchmark evidence · README.md > Leaderboard > Stability; row Bepler; column Spearman's rho
Model: TAPE Bepler	Task: TAPE Secondary Structure Dataset: CB513	0.73 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source TAPE Bepler: CB513 CB513 test set; train/test proteins filtered at 25% sequence identity Aggregation: Not reported tape primary benchmark evidence · Table2,p.7,row7(Supervised pretraining/Bepler supervised LSTM),columnSecondary structure
Model: TAPE Bepler	Task: TAPE Remote Homology Detection Dataset: SCOP1.75 fold-level test	0.17 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source TAPE Bepler: SCOP1.75 fold-level test Held-out evolutionary groups; fold-level classification into 1,195 folds Aggregation: Not reported tape primary benchmark evidence · Table2,p.7,row7(Supervised pretraining/Bepler supervised LSTM),columnRemote homology
Model: TAPE Bepler	Task: TAPE Contact Prediction Dataset: ProteinNet CASP12	0.4 precision at L/5 fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source TAPE Bepler: ProteinNet CASP12 CASP12 test, 30% sequence-identity partition; medium/long-range contacts Aggregation: Not reported tape primary benchmark evidence · Table2,p.7,row7(Supervised pretraining/Bepler supervised LSTM),columnContact prediction

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Use this model

How it works, versions and access

How it works

The TAPE Bepler comparison uses a protein representation that combines bidirectional language modelling with supervised structural pretraining. The June 2019 TAPE preprint describes a two-layer bidirectional language model followed by three 512-unit bidirectional LSTMs, with contact and remote-homology supervision. The documented inputs are protein sequences for the task-specific TAPE evaluation. The output consists of protein representations followed by the applicable TAPE prediction head.

Sources (8)

Versions and reproducibility

June 2019 TAPE preprint configurations and the later PyTorch package are distinct; the current README warns it is not an exact reproduction. The TAPE preprint uses sequence-length-dependent batching; the exact task/checkpoint determines padding, truncation and resource constraints.

Sources (8)

Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

Provides a reference for testing whether structural supervision during pretraining transfers to downstream protein tasks.
Sources (8)
songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3

Limitations and conditions

The preprint identifies the architecture and training objectives, but the exact historical checkpoint is still unresolved. Later PyTorch package defaults are not an exact reproduction.
Sources (8)
songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3

Profile review details

Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied.

Stable record: discovery-model-tape-bepler

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
Property	Description and evidence
Model type	Bidirectional recurrent protein representation with structural pretraining Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Architecture	The June 2019 TAPE preprint describes a two-layer bidirectional language model followed by three 512-unit bidirectional LSTMs, with contact and remote-homology supervision. Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Inputs	Protein sequences for the task-specific TAPE evaluation. Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Outputs	Protein representations followed by the applicable TAPE prediction head. Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Parameters	The paper describes the language model and structural LSTMs but the exact historical checkpoint remains unresolved; no single verified total is assigned. · Not reported in inspected sources Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Known versions	June 2019 TAPE preprint configurations and the later PyTorch package are distinct; the current README warns it is not an exact reproduction. Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Training data	The June 2019 TAPE preprint uses 31M Pfam domains, with held-out families and a separate random split; downstream task heads are fitted on their own task data. Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Training cutoff	The June 2019 TAPE preprint identifies the Pfam-domain corpus and split procedure but does not state one latest-sequence deposition date. Later package defaults are a different implementation. · Not reported in inspected sources Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Context limits	The TAPE preprint uses sequence-length-dependent batching; the exact task/checkpoint determines padding, truncation and resource constraints. Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Weights licence	Separate checkpoint-distribution terms are not stated in the inspected release documentation and licence material. The source-code licence alone is not recorded as an explicit weight grant. · Not reported in inspected sources Sources (9) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF; songlab-cal/tape: LICENSE · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3; LICENSE: licence text
Access	Official project documentation and implementation: https://github.com/songlab-cal/tape Sources (8) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tbepler/protein-sequence-embedding-iclr2019: README.md; tape: Primary paper PDF · README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Code licence	BSD-3-Clause Sources songlab-cal/tape: LICENSE · LICENSE: licence text

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

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Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

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154 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statement	Original source and location	Review and provenance
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: README.md Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `b28c74fe3cd6b69a8ba6d84891d0539e54dfef882abd5ed4d11ed0b029bb477a` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_unirep.py Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `f6a0da726a8bcdd40640fab39c0814a56d6188531b44a3ce6e7e7137755c9a02` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	tbepler/protein-sequence-embedding-iclr2019: README.md Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be32cffeec26431bdf87438eb5f07ddd6fc5d7dd Retrieved: 2026-09-16T19:57:33.688522+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `ecb193485e89d65558a509bae571057862dd079d29afc877c8c9812c4c525415` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_onehot.py Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `546fab3931d2ae7b6a0ee06ff64c6bcedf2d58b460e5aa90be623b0895befe43` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_lstm.py Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `e857bc4d6d551915a375116208f7f74b286e7fc88d0d54f54b2746b2fb02e1ca` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	tape: Primary paper PDF Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 1906.08230v1 Retrieved: 2026-09-16T20:23:48.238777+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `6ee0c3e6e870635cba8fa67e0a4abc5598c0ab2a10ba127a46b67ac450ae0168` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_resnet.py Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `fc97f083f059f5b587d568aa0c32f7cca227e247160a7e22e3a168aef1469ebe` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_bert.py Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `eba47206598a0e93e2f662d9c87343222556f236ac37373236e3970c43fb521d` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Protein sequence Bidirectional language model Three bidirectional LSTMs Specified downstream task head Individual claims	songlab-cal/tape: README.md Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `b28c74fe3cd6b69a8ba6d84891d0539e54dfef882abd5ed4d11ed0b029bb477a` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Protein sequence Bidirectional language model Three bidirectional LSTMs Specified downstream task head Individual claims	songlab-cal/tape: tape/models/modeling_unirep.py Original source ↗ README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `f6a0da726a8bcdd40640fab39c0814a56d6188531b44a3ce6e7e7137755c9a02` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact

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Release 2026-09-29-06401fd5b220 · Record review: discovered

10 source records and release history

songlab-cal/tape official source · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: README.md · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_lstm.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_resnet.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_unirep.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_onehot.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_bert.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
tbepler/protein-sequence-embedding-iclr2019: README.md · Original source · be32cffeec26431bdf87438eb5f07ddd6fc5d7dd
tape: Primary paper PDF · Original source · 1906.08230v1
songlab-cal/tape: LICENSE · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e

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Technical metadata and extraction receipts

Stable ID: discovery-model-tape-bepler

areas: protein-function
entity level: method
reported name: Bepler
version: Not reported
historical missing metadata: checkpoint: unreported; version: unreported
metadata review scope: historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
entity classification: review date: 2026-09-17; rationale: The cited profile describes a named learned biological predictor or representation model/family. Preserve this identity separately from task-specific fitting, individual checkpoints, pipelines and hosted access.; source ids: evidence-official-028db5eeb224def23456; evidence-official-1aae5efd1b27ae9c761a; evidence-official-3cec54ed6ded9cb0a092; evidence-official-044ad0df4e4fe48a2125; evidence-official-12d43bf3076a93fc4ee7; evidence-official-c303652f3d79132a00c2; evidence-official-116dfd8f61e04b51c148; evidence-official-362b9cef071111dfe343; source locator: README.md: opening reproducibility warning and Leaderboard; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3; ambiguities: This record covers the named representation model architecture/recipe. Source-version architectural differences and exact evaluated configurations remain explicit; no common checkpoint is inferred.

Related records

model: TAPE Fluorescence Bepler leaderboard evaluation
model: TAPE Stability Bepler leaderboard evaluation
model: TAPE Bepler: ProteinNet CASP12
model: TAPE Bepler: CB513
model: TAPE Bepler: SCOP1.75 fold-level test

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