Model: kipark/all-mpnet-base-v2-combined_4400-400vs1000
Author: kipark
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:12000, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, model-index, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:12000, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-mpnet-base-v2
widget: source_sentence: When creating a Visual Studio project for the libmodbus fork (mro/third-party/libmodbus) on Windows, which library should be added to the Linker -> Input settings?
sentences: Metadata:
source: twiki
name: 
version: 38
last modification: 08-05-2024
category: computing
parents_structure: A, t, l, a, s, C, o, m, p, u, t, i, n, g, /, A, t, l, a, s, C, o, m, p, u, t, i, n, g, A, r, c, h, i, v, e, ., A, t, l, a, s, I, S, F

Chunk text:
Either leave as is - the creator's name will be inserted; 
Or replace the complete REVINFO tag (including percentages symbols) with a name in the form Main.TwikiUsersName -->, Metadata:
source: GitLabMarkdown
project path: mro/third-party/libmodbus
project description: libmodbus fork from https://libmodbus.org with RTU over TCP support
file path: src/win32/README.md
header path: 'Instructions to compile on Windows' > 'Create a new Visual Studio project with the library included'

Chunk text:
-> Input*, define `ws2_32.lib`.
13. if required, add `_CRT_SECURE_NO_WARNINGS` to *C/C++ -> Preprocessor ->
Preprocessor Definitions*., Metadata:
source: GitLabMarkdown
project path: ATLAS-EGamma/documentation/egamma/egamma
project description: 
file path: docs/contributing/docs.md
header path: 'Writing documentation' > 'Contributing to this website' > 'Step 2: Modify the documentation'

Chunk text:
You can find help on writing with markdown [here](https://www.mkdocs.org/user-guide/writing-your-docs/#writing-with-markdown).  
!!! note  
If you are adding a new page (new .md file), don't forget to also add it in the mkdocs.yml file., source_sentence: Can MC16 HITS be used directly for MC20 production, and if not, what must be done to use them for MC20?
sentences: Metadata:
source: twiki
name: 
version: 1789
last modification: 16-04-2024
category: innerdetector, wiki, trt
parents_structure: W, e, b, H, o, m, e, /, A, t, l, a, s, D, e, t, e, c, t, o, r, s, /, I, n, n, e, r, D, e, t, e, c, t, o, r, /, T, r, t, W, i, k, i

Chunk text:
The automated email from this morning states that we have not signed off on the BULK processings of the following runs: 461855, 461878, 461914, 462149, 462201, 462205, 462240, 462244, 462441, and 462485. TRT was disabled during the first three runs - Saime, Metadata:
source: AtlasTalk

Chunk text:
Answer 7:
Hi David, Ketevi,
It appears that Athena crashed because of some errors in the use of the arguments in the pathena command (see below).
ExitCode=31
ErrorCode=63100 (TRF_ARG)
ErrorCategory=TRF_ARG,	63100,	Transform argument errors (1 times), Metadata:
source: twiki
name: 
version: 24
last modification: 14-05-2025
category: production, atlasphysics, flow
parents_structure: W, e, b, H, o, m, e, /, A, t, l, a, s, P, h, y, s, i, c, s, /, A, t, l, a, s, P, r, o, d, u, c, t, i, o, n, G, r, o, u, p, /, A, t, l, a, s, P, r, o, d, u, c, t, i, o, n, G, r, o, u, p, I, n, t, e, r, n, a, l

Chunk text:
A. If request start from existing hits there is a caveat: MC16 HITS cannot be used directly for MC20 but need to be produced using the same project, campaign, sub,campaign as in the original MC16 request:, source_sentence: Which jet container was added in GitLab merge request 12675 for the ATLAS Athena project?
sentences: Metadata:
source: AtlasTalk

Chunk text:
Note error “Failed to execute payload”
Hover over “Logs”, click “Logfiles”. Open “payload_stdout” and read, Metadata:
source: twiki
name: 
version: 310
last modification: 08-10-2025
category: computing, derivation, athena
parents_structure: W, e, b, H, o, m, e, /, A, t, l, a, s, C, o, m, p, u, t, i, n, g

Chunk text:
* [[https://gitlab.cern.ch/atlas/athena/merge_requests/12675][12675]]   Add AntiKt10TruthTrimmedPtFrac5SmallR20Jets container 
      * [[https://gitlab.cern.ch/atlas/athena/merge_requests/12355][12355]]   Actually added VRTracks to output., Metadata:
source: GitLabMarkdown
project path: atlasml/information-and-resources
project description: Information and resources on applications of machine learning in ATLAS (formerly the ATLAS Machine Learning Forum TWiki)
file path: docs/resources/software.md
header path: 'Software & Tools for ML Development' > 'Preservation' > 'Preservation format'

Chunk text:
If not, [PetrifyML](https://gitlab.com/hepcedar/petrify-bdt/-/tree/master) is a lightweight, pip-installable tool that converts ML models from most of the toolkits commonly used in ATLAS to [ONNX][onnx]., source_sentence: Which DSIDs were re-reconstructed after the muon trigger issue?
sentences: Metadata:
source: AtlasTalk

Chunk text:
The “official” VBFHWW job option has not been adapted to change in the MadGraphUtils interface that were introduced a while ago. ‘new_process()’ needs to get the process as an argument., Metadata:
source: twiki
name: 
version: 25
last modification: 09-02-2021
category: production, atlasphysics, top
parents_structure: W, e, b, H, o, m, e, /, A, t, l, a, s, P, h, y, s, i, c, s, /, T, o, p, W, o, r, k, i, n, g, G, r, o, u, p, /, T, o, p, M, C, a, r, c, h, i, v, e, /, T, o, p, M, C, 1, 2

Chunk text:
* %ICON{choice-yes}%: sample/job type ready!
   * %ICON{processing-bg}%: sample/job type in production (i.e. submitting, running).
   * %ICON{warning}%: job type not registered properly in AMI., Metadata:
source: twiki
name: 
version: 29
last modification: 01-07-2025
category: jetetmiss, etmiss, jet, atlasphysics
parents_structure: W, e, b, H, o, m, e, /, A, t, l, a, s, P, h, y, s, i, c, s, /, J, e, t, E, t, M, i, s, s

Chunk text:
* Two p-tags co-exist at the moment, since only DSIDs 700788 and 700791 had to be re-reconstructed after the muon trigger issue, source_sentence: Which file could not be opened according to the xAOD::TFileMerger::addFile error message?
sentences: Metadata:
source: GitLabMarkdown
project path: acc-co/ucap/ucap-core
project description: 
file path: docs/src/docs/reference/device-behavior.md
header path: 'Device Behavior' > 'Acquisition properties' > 'First updates'

Chunk text:
As of May 2024, UCAP retains converter outputs (for each selector) within an in-memory data structure, paired with the
relevant selector. Thus, UCAP nodes provide first-updates as needed for `get` and `subscribe` operations; however,, Metadata:
source: AtlasTalk

Chunk text:
for Ganga, just switch into 'run' directory before starting Ganga session. But then make sure your job option is presented there before submitting to Panda., Metadata:
source: AtlasTalk

Chunk text:
Error in &lt;xAOD::TFileMerger::addFile&gt;: /build1/atnight/localbuilds/nightlies/AnalysisBase-2.3.X/AnalysisBase/rel_nightly/xAODRootAccess/Root/TFileMerger.cxx:105 Couldn't open file "user.pottgen.5855794._000003.hist-output.root"
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100
model-index: name: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: validation
type: validation
metrics: type: cosine_accuracy@1
value: 0.745
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8583333333333333
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8866666666666667
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9183333333333333
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.745
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.28611111111111115
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1773333333333333
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09183333333333332
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.745
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8583333333333333
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8866666666666667
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9183333333333333
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8348296128986037
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8077595899470902
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8108890247161775
name: Cosine Map@100
verified: no, type: dot_accuracy@1
value: 0.745
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.8583333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.8866666666666667
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9183333333333333
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.745
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.28611111111111115
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.1773333333333333
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09183333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.745
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.8583333333333333
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.8866666666666667
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9183333333333333
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.8348296128986037
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.8077595899470902
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.8108890247161775
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 6
Created: 2025-12-17 10:40:13