SetFit with sentence-transformers/all-mpnet-base-v2

This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/all-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.

The model has been trained using an efficient few-shot learning technique that involves:

Fine-tuning a Sentence Transformer with contrastive learning.
Training a classification head with features from the fine-tuned Sentence Transformer.

Model Details

Model Description

Model Type: SetFit
Sentence Transformer body: sentence-transformers/all-mpnet-base-v2
Classification head: a LogisticRegression instance
Maximum Sequence Length: 384 tokens
Number of Classes: 3 classes

Model Sources

Repository: SetFit on GitHub
Paper: Efficient Few-Shot Learning Without Prompts
Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts

Model Labels

Label	Examples
feature	'Add Accessibility View and Accessibility Help Menu for Copilot Inline Suggestions Testing #186214\r\n\r\nIf you already have an issue for future plans feel free to close this one.\r\nI think the Copilot Inline (Ghost Text) Suggestions could also profit from the Accessibility View. Currently users are depending on the Copilot View on the side which might get deprecated in the future. And I think we need a native solution for this, so IntelliCode also profits.\r\nI am not sure how exactly to integrate this with the Inline Suggestion Hover.\r\n\r\nA potential start would be. Whenever there is an Inline Suggestion, we play an audio cue (as we do today), and a user can open Accessibility View to inspect the exact suggestion.\r\n\r\nfyi @hediet\r\n' 'Windows is ignore terminal titles unless they look like paths From @NoelAbrahams in https://github.com/microsoft/vscode/issues/172821#issuecomment-1712935578\n\n> I've been trying to programmatically set the title of a bash terminal without success, and glad that I chanced upon this issue.\n> \n> Here is the repro:\n> \n> System: Windows 11.\n> Git Bash installed.\n> VSCode version: 1.82.0\n> \n> VSCode Workspace Settings:\n> \n> \n> \n> \n> .bashrc\n> `shell\n> echo -en "\\\\033]0;New terminal title\\\\a"\n>` \n> \n> The title of the bash terminal window remains stubbornly unchanged as `bash myworkspacefolder`.\n> \n> I'm assuming this issue will fix my use case.\n> \n> Thanks\n\n---\n\nThis section is setting it to undefined:\n\nhttps://github.com/microsoft/vscode/blob/41e940f76f5deda197bc5930b044c55607ba1cbc/src/vs/workbench/contrib/terminal/browser/terminalInstance.ts#L1933-L1946\n\nWe want to keep the path trimming behavior above, but only when it looks like a path.' "Toggle Inline Diff not discoverable in inline chat Followup to https://github.com/microsoft/vscode/issues/185040#issuecomment-1612399427\r\n\r\nI spent quite some time messing with the inline chat preview mode setting to get the diff to appear, without success. It didn't occur to me to look in the Discard dropdown for the Toggle Inline Diff action, since I don't associate diffing with discarding. Have we considered surfacing this another way, maybe as a separate icon or through a keybinding with some helper text below the result?"
question	'error \nType: Bug\n\n\n\nUser\nMicrosoft Windows [Versión 10.0.22621.1992]\n(c) Microsoft Corporation. Todos los derechos reservados.\n\nC:\\Users\\primo\\OneDrive\\Escritorio\\otro\\ClonTwitter>rails s\n=> Booting Puma\n=> Rails 7.0.6 application starting in development \n=> Run `bin/rails server --help` for more startup options\n* SIGUSR2 not implemented, signal based restart unavailable!\n* SIGUSR1 not implemented, signal based restart unavailable!\n*** SIGHUP not implemented, signal based logs reopening unavailable!\nPuma starting in single mode...\n* Version 5.0.0 (ruby 3.1.3-p185), codename: Spoony Bard\n* Min threads: 5, max threads: 5\n* Environment: development\nExiting\nC:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:242:in `initialize\': Only one usage of each socket address (protocol/network address/port) is normally permitted. - bind(2) for "127.0.0.1" port 3000 (Errno::EADDRINUSE)\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:242:in` new'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:242:in `add_tcp_listener\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:236:in` block in add_tcp_listener'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:235:in `each\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:235:in` add_tcp_listener'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:122:in `block in parse\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:106:in` each'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/binder.rb:106:in `parse\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/runner.rb:137:in` load_and_bind'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/single.rb:43:in `run\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/puma/launcher.rb:171:in` run'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/puma-5.0.0/lib/rack/handler/puma.rb:71:in `run\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/rack-2.2.7/lib/rack/server.rb:327:in` start'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/railties-7.0.6/lib/rails/commands/server/server_command.rb:38:in `start\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/railties-7.0.6/lib/rails/commands/server/server_command.rb:143:in` block in perform'\n from internal:kernel:90:in `tap\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/railties-7.0.6/lib/rails/commands/server/server_command.rb:134:in` perform'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/thor-1.2.2/lib/thor/command.rb:27:in `run\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/thor-1.2.2/lib/thor/invocation.rb:127:in` invoke_command'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/thor-1.2.2/lib/thor.rb:392:in `dispatch\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/railties-7.0.6/lib/rails/command/base.rb:87:in` perform'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/railties-7.0.6/lib/rails/command.rb:48:in `invoke\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/railties-7.0.6/lib/rails/commands.rb:18:in` '\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/bootsnap-1.16.0/lib/bootsnap/load_path_cache/core_ext/kernel_require.rb:32:in `require\'\n from C:/Ruby31-x64/lib/ruby/gems/3.1.0/gems/bootsnap-1.16.0/lib/bootsnap/load_path_cache/core_ext/kernel_require.rb:32:in` require'\n from bin/rails:4:in ` '\n\nVS Code version: Code 1.80.2 (2ccd690cbff1569e4a83d7c43d45101f817401dc, 2023-07-27T20:40:28.909Z)\nOS version: Windows_NT x64 10.0.22621\nModes:\n\n \n System Info \n\n
bug	'Confusing accessibility help message in an editor 1. Open settings.json \n2. Run Open Accessibility Help\n3. See this message \n4. I don't really understand what "Disable the aria hint label to open this" means\n\n\n\n' 'I cannot click on the left hand side to expand: I cannot click on the left hand side to expand:\r\n\r\n\r\n\r\nAlso, is the hover color themable?\r\n\r\n_Originally posted by @bpasero in https://github.com/microsoft/vscode/issues/185781#issuecomment-1697638159_\r\n ' 'Clicking on search result sets the selection in the cell and not in the output Testing #191488\n\n* open https://github.com/donnemartin/data-science-ipython-notebooks\n* enable `"search.experimental.closedNotebookRichContentResults": true`\n* search for `[1, 2, 3, 4, 5]`\n* click on a result in `02.08-Sorting.ipynb`\n* observe the selection is set on the input code and not on the output\n\n\n\n\nhttps://github.com/microsoft/vscode/assets/5047891/bdce58d0-66b1-48c6-91e2-283cccffcc85\n\n\n\n\n```\nVersion: 1.82.0-insider\nCommit: ebd67244fb2da33ab078bb2baa96106fda29f336\nDate: 2023-08-29T05:48:32.218Z\nElectron: 25.5.0\nElectronBuildId: 23084831\nChromium: 114.0.5735.289\nNode.js: 18.15.0\nV8: 11.4.183.29-electron.0\nOS: Darwin arm64 22.6.0\n```'

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("setfit_model_id")
# Run inference
preds = model("Notebook toolbar foreground color cannot be modified by custom styles: The unavailable foreground color has been marked with a red arrow, please see the image


Expected behavior:
Notebook toolbar foreground color can be modified through custom styles.

Unexpected behavior:
Notebook toolbar foreground color cannot be modified through custom styles.

VS Code Version: 1.81 | 1.82
OS Version: Windows10
")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	5	118.4567	1482

Label	Training Sample Count
bug	200
feature	200
question	200

Training Hyperparameters

batch_size: (16, 2)
num_epochs: (1, 1)
max_steps: -1
sampling_strategy: oversampling
num_iterations: 20
body_learning_rate: (2e-05, 1e-05)
head_learning_rate: 0.01
loss: CosineSimilarityLoss
distance_metric: cosine_distance
margin: 0.25
end_to_end: False
use_amp: False
warmup_proportion: 0.1
seed: 42
eval_max_steps: -1
load_best_model_at_end: False

Training Results

Epoch	Step	Training Loss	Validation Loss
0.0007	1	0.2896	-
0.0067	10	0.262	-
0.0133	20	0.2299	-
0.02	30	0.2345	-
0.0267	40	0.235	-
0.0333	50	0.2213	-
0.04	60	0.3084	-
0.0467	70	0.2107	-
0.0533	80	0.1596	-
0.06	90	0.1916	-
0.0667	100	0.2366	-
0.0733	110	0.1513	-
0.08	120	0.1281	-
0.0867	130	0.2217	-
0.0933	140	0.1859	-
0.1	150	0.1835	-
0.1067	160	0.1312	-
0.1133	170	0.1415	-
0.12	180	0.1287	-
0.1267	190	0.1377	-
0.1333	200	0.1116	-
0.14	210	0.0769	-
0.1467	220	0.0548	-
0.1533	230	0.0647	-
0.16	240	0.0348	-
0.1667	250	0.0165	-
0.1733	260	0.0043	-
0.18	270	0.0038	-
0.1867	280	0.0673	-
0.1933	290	0.0458	-
0.2	300	0.0048	-
0.2067	310	0.0054	-
0.2133	320	0.0019	-
0.22	330	0.0052	-
0.2267	340	0.0103	-
0.2333	350	0.0163	-
0.24	360	0.0022	-
0.2467	370	0.0009	-
0.2533	380	0.0006	-
0.26	390	0.001	-
0.2667	400	0.0011	-
0.2733	410	0.0005	-
0.28	420	0.0007	-
0.2867	430	0.0006	-
0.2933	440	0.0005	-
0.3	450	0.0012	-
0.3067	460	0.0006	-
0.3133	470	0.0004	-
0.32	480	0.0006	-
0.3267	490	0.0009	-
0.3333	500	0.001	-
0.34	510	0.0003	-
0.3467	520	0.0003	-
0.3533	530	0.0005	-
0.36	540	0.0002	-
0.3667	550	0.0004	-
0.3733	560	0.0603	-
0.38	570	0.0014	-
0.3867	580	0.0007	-
0.3933	590	0.0005	-
0.4	600	0.0004	-
0.4067	610	0.0053	-
0.4133	620	0.0002	-
0.42	630	0.0002	-
0.4267	640	0.0008	-
0.4333	650	0.0001	-
0.44	660	0.0002	-
0.4467	670	0.0001	-
0.4533	680	0.0002	-
0.46	690	0.0002	-
0.4667	700	0.0001	-
0.4733	710	0.0003	-
0.48	720	0.0001	-
0.4867	730	0.0001	-
0.4933	740	0.0002	-
0.5	750	0.0001	-
0.5067	760	0.0002	-
0.5133	770	0.0002	-
0.52	780	0.0001	-
0.5267	790	0.0001	-
0.5333	800	0.0001	-
0.54	810	0.0001	-
0.5467	820	0.0002	-
0.5533	830	0.0001	-
0.56	840	0.0001	-
0.5667	850	0.0001	-
0.5733	860	0.0002	-
0.58	870	0.0001	-
0.5867	880	0.0002	-
0.5933	890	0.0002	-
0.6	900	0.0002	-
0.6067	910	0.0001	-
0.6133	920	0.0001	-
0.62	930	0.0001	-
0.6267	940	0.0001	-
0.6333	950	0.0001	-
0.64	960	0.0001	-
0.6467	970	0.0001	-
0.6533	980	0.0001	-
0.66	990	0.0001	-
0.6667	1000	0.0001	-
0.6733	1010	0.0001	-
0.68	1020	0.0001	-
0.6867	1030	0.0001	-
0.6933	1040	0.0001	-
0.7	1050	0.0001	-
0.7067	1060	0.0002	-
0.7133	1070	0.0001	-
0.72	1080	0.0001	-
0.7267	1090	0.0001	-
0.7333	1100	0.0001	-
0.74	1110	0.0002	-
0.7467	1120	0.0001	-
0.7533	1130	0.0001	-
0.76	1140	0.0001	-
0.7667	1150	0.0001	-
0.7733	1160	0.0001	-
0.78	1170	0.0001	-
0.7867	1180	0.0001	-
0.7933	1190	0.0002	-
0.8	1200	0.0001	-
0.8067	1210	0.0001	-
0.8133	1220	0.0001	-
0.82	1230	0.0001	-
0.8267	1240	0.0	-
0.8333	1250	0.0	-
0.84	1260	0.0002	-
0.8467	1270	0.0001	-
0.8533	1280	0.0001	-
0.86	1290	0.0001	-
0.8667	1300	0.0001	-
0.8733	1310	0.0001	-
0.88	1320	0.0001	-
0.8867	1330	0.0	-
0.8933	1340	0.0001	-
0.9	1350	0.0001	-
0.9067	1360	0.0001	-
0.9133	1370	0.0001	-
0.92	1380	0.0001	-
0.9267	1390	0.0001	-
0.9333	1400	0.0001	-
0.94	1410	0.0	-
0.9467	1420	0.0001	-
0.9533	1430	0.0001	-
0.96	1440	0.0001	-
0.9667	1450	0.0001	-
0.9733	1460	0.0001	-
0.98	1470	0.0001	-
0.9867	1480	0.0001	-
0.9933	1490	0.0001	-
1.0	1500	0.0001	-

Framework Versions

Python: 3.10.12
SetFit: 1.0.3
Sentence Transformers: 3.0.1
Transformers: 4.39.0
PyTorch: 2.3.0+cu121
Datasets: 2.20.0
Tokenizers: 0.15.2

Citation

BibTeX

@article{https://doi.org/10.48550/arxiv.2209.11055,
    doi = {10.48550/ARXIV.2209.11055},
    url = {https://arxiv.org/abs/2209.11055},
    author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
    keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
    title = {Efficient Few-Shot Learning Without Prompts},
    publisher = {arXiv},
    year = {2022},
    copyright = {Creative Commons Attribution 4.0 International}
}

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Safetensors

Model size

0.1B params

Tensor type

F32

Model tree for nilcars/microsoft_vscode_model

Base model

sentence-transformers/all-mpnet-base-v2

Finetuned

(345)

this model

Paper for nilcars/microsoft_vscode_model

Efficient Few-Shot Learning Without Prompts

Paper • 2209.11055 • Published Sep 22, 2022 • 4