metadata
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: "Copy env-production to .env (setting up)\nHi, very sorry to ask, dont know if here would be ok... but where can I get the env-production file to be copied to .env? because here https://github.com/frappe/frappe_docker/wiki/Easiest-Install says so but cant be found...```\r\n\r\nThanks,\r\n\r\n$ **cp env-production .env**\r\n$ sed -i -e \"s/FRAPPE_VERSION=edge/FRAPPE_VERSION=v12.9.4/g\" .env\r\n$ sed -i -e \"s/ERPNEXT_VERSION=edge/ERPNEXT_VERSION=v12.6.2/g\" .env\r\n$ sed -i -e \"s/[email protected]/[email protected]/g\" .env\r\n$ sed -i -e \"s/erp.example.com/erp.myweb.com/g\" .env\r\n$ sed -i -e \"s/ADMIN_PASSWORD=admin/ADMIN_PASSWORD=supersecret/g\" .env\r\n$ sed -i -e \"s/MYSQL_ROOT_PASSWORD=admin/MYSQL_ROOT_PASSWORD=longsecretpassword/g\" .env\r\n```"
- text: "[BUG] Unwanted \"supported\" or \"unknown\" message\n## User Story\r\nI see string \"supported\" on \"start\" command.\r\n\r\n## Basic info\r\n\r\n* **Distro:** Ubuntu 20.04.3 LTS\r\n* **Game:** Any\r\n* **Command:** start\r\n* **LinuxGSM version:** v21.5.0\r\n\r\n## Further Information\r\n\r\nProbably it is debug message from deps check. \"supported\" is replaced by \"unknown\" on unsupported distro.\r\nThis LGSM is upgraded from previous version.\r\n```\r\naaa@hostname:~$ ./arma3server start\r\nsupported\r\nsupported\r\nsupported\r\n[ OK ] Starting arma3server: server name\r\n```\r\n\r\n## To Reproduce\r\n\r\nSteps to reproduce the behaviour:\r\n1. Use start command\r\n\r\n## Expected behaviour\r\nSee only \"[ OK ] Starting arma3server: server name\" message,"
- text: |-
Docs are still using `DBT_PROJECT_DIR`
This was switched to `ARTEFACTS_ DBT_PROJECT_DIR` last release.
- text: |-
Document CNI upgrade strategies
Document supported CNIs + supported CNI upgrade strategies.
- text: |-
Read the Docs
Implement read the docs for documentation
inference: true
SetFit
This is a SetFit model that can be used for Text Classification. 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
- Classification head: a LogisticRegression instance
- Maximum Sequence Length: 384 tokens
- Number of Classes: 4 classes
Model Sources
Model Labels
Label |
Examples |
bug |
- 'lookatme requirements should specify click<9\n
lookatme specifies a requirements of click>=7,<8 but in fact seems to work fine with click 8+. Many tools (including poetry, and soon pip) will refuse to install lookatme in a venv with modern Python packages because those packages require click 8+.\r\n\r\nThis is easily fixed by updating requirements.\r\n\r\nSteps to reproduce the behavior:\r\n\r\n\r\npoetry shell\r\npoetry add black\r\npoetry add lookatme\r\n \r\n\r\n**Expected behavior**\r\nlookatme can be installed with black.\r\n\r\n**Actual behavior**\r\npoetry refuses to install lookatme because of the unnecessary requirement.\r\n\r\n**Additional context**\r\nPR inbound.' - 'Quarto error when trying to render a simple .qmd file\n### System details\r\n\r\nVersion 2022.11.0-daily+87 (2022.11.0-daily+87)\r\nsysname\r\n"Darwin"\r\nrelease\r\n"21.5.0"\r\nversion\r\n"Darwin Kernel Version 21.5.0: Tue Apr 26 21:08:37 PDT 2022; root:xnu8020.121.3~4/RELEASE_ARM64_T6000" \r\n\r\n\r\n### Steps to reproduce the problem\r\nthis is an example
qmd file \r\n\r\n---\r\ntitle: "An Introduction to data science"\r\nformat: revealjs\r\n---\r\n\r\n\r\n\r\n---\r\n# How is the project is constructed\r\n\r\n1. Intro\r\n\r\n2. Literature review\r\n\r\n3. Hypothesis\r\n\r\n4. Methods: which tools did you use and how you used them (more on this in a bit)\r\n\r\n5. Main results\r\n\r\n6. Conclusions\r\n\r\n<img src="https://www.dropbox.com/s/06o9rixg2r5ocvz/ppic155.jpeg?raw=1" alt="" style="zoom:33%;" />\r\n\r\n---\r\n# Intro\r\n\r\nPresent the research topic and research hypothesis\r\n\r\n---\r\n# Literature review\r\n\r\nat least 5-6 papers you will summarize relating to your project\r\n\r\n\r\n \r\n\r\n### Describe the problem in detail\r\n\r\nwhen rendering I get errors, here is the error from the example file above\r\n\r\nERROR: YAMLError: end of the stream or a document separator is expected at line 10, column 12:\r\n 4. Methods: which tools did you use and ho ... \r\n ^\r\n \r\n\r\n\r\n### Describe the behavior you expected\r\n\r\nexpected for the file to render correctly \r\n\r\n- [ X] I have read the guide for submitting good bug reports.\r\n- [ X] I have installed the latest version of RStudio, and confirmed that the issue still persists.\r\n- [ X] If I am reporting an RStudio crash, I have included a diagnostics report.\r\n- [ X] I have done my best to include a minimal, self-contained set of instructions for consistently reproducing the issue.\r\n' - 'Nested buttons do not handle enabled properly\nWith 2 nested buttons, if the outside one has the prop
enabled={false} then then inside one does not receive touch events.\r\n\r\nTested on iOS, not sure about Android.\r\n\r\nSnack: https://snack.expo.io/H15lpZuFQ'
|
feature |
- 'Migrating Woo Comparison table to Sparks\n### Description:\r\nWe need to migrate the current comparison table to Sparks and remove it from Otter.'
- '[bug] Hard code 'movie_id' in neg_sampler.py\n\r\n\r\nUse item parameter instead of hard code 'movie_id'.'
- "mk: omit transitive shared-library dependencies from linker command line\nRight now, binaries created directly within a build directory are linked slightly different compared to binaries created as depot archive. When created in the build directory, all shared-library dependencies including transitive shared-library dependencies of the target's used shared libraries end up at the linker command line. In contrast, when building a depot archive - where transitive shared libraries are not known because they are hidden behind the library's ABI - only the immediate dependencies appear at the linker command line. To improve the consistency, we should better link without transitive shared objects in both cases."
|
documentation |
- 'Docs are still using
DBT_PROJECT_DIR \nThis was switched to ARTEFACTS_ DBT_PROJECT_DIR last release.' - 'multi-language translation strategy\nWe are aiming to role out a docs versioning system that includes a multi-language translation review on a periodic basis. Should aim for something similar here. @okwme is there any public documentation of this yet?'
- 'upgrade docs differ to fresh project setup docs regarding app-routing.module.ts\nDescribe the bug\r\nWhen creating a fresh project by following this guide, the file
app-routing.module.ts only get's get's created if answering the question "Would you like to add Angular routing?" with "yes". Doing so is not needed according to the Setup Guide.\r\n\r\nWhen updating an existing < 4 Spartacus project to 4.x, Creation of that file is needed according to the update documentation here.\r\n\r\n**Tell us the version of Spartacus**\r\n- Library version: 4.2.0\r\n\r\n**To Reproduce**\r\nSteps to reproduce the behavior:\r\n1. Create a fresh Spartacus Project by following the setup guide\r\n2. Notice, that NO file app-routing.module.ts get's created\r\n\r\n**Expected behavior**\r\nThe update documentation leads to the same files as the fresh setup guide\r\n\r\n**Desktop (please complete the following information):**\r\n - OS: all\r\n - Browser: all\r\n - Version: all\r\n\r\n**Smartphone (please complete the following information):**\r\n - Device: all\r\n - OS: all\r\n - Browser: all\r\n - Version: all\r\n\r\n**Additional context**\r\nAs having the file app-routing.module.ts in our projects does not seem to be neccessary, I am wondering why it is explicitly mentioned in the Spartacus 4 migration docs. \r\n'
|
question |
- 'softmax error\n\r\n\r\nTensorRT Version:TensorRT 8.4EA \r\nNVIDIA GPU: NVIDIA 2080T\r\nCUDA Version: cuda10.2\r\nOperating System: windows \r\n\r\nI made this error when I increased the input tensor size to (1,65536,6). Does Softmax need larger memory to run, or is it caused by some fusion operations\r\n'
- 'Terraform 0.14.x not supported\nHi,\r\nI am trying to do a terraform init inside the complete example folder and this is the output I get:\r\n\r\n> terraform init\r\n> Initializing modules...\r\n> - jenkins in ../..\r\n> Downloading cloudposse/cicd/aws 0.11.1 for jenkins.cicd...\r\n> - jenkins.cicd in .terraform/modules/jenkins.cicd\r\n> Downloading cloudposse/codebuild/aws 0.27.0 for jenkins.cicd.codebuild...\r\n> - jenkins.cicd.codebuild in .terraform/modules/jenkins.cicd.codebuild\r\n> Downloading git::https://github.com/cloudposse/terraform-null-label.git?ref=tags/0.21.0 for jenkins.cicd.codebuild.this...\r\n> - jenkins.cicd.codebuild.this in .terraform/modules/jenkins.cicd.codebuild.this\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.cicd.this...\r\n> - jenkins.cicd.this in .terraform/modules/jenkins.cicd.this\r\n> Downloading cloudposse/ecr/aws 0.29.1 for jenkins.ecr...\r\n> - jenkins.ecr in .terraform/modules/jenkins.ecr\r\n> Downloading git::https://github.com/cloudposse/terraform-null-label.git?ref=tags/0.21.0 for jenkins.ecr.this...\r\n> - jenkins.ecr.this in .terraform/modules/jenkins.ecr.this\r\n> Downloading cloudposse/efs/aws 0.25.0 for jenkins.efs...\r\n> - jenkins.efs in .terraform/modules/jenkins.efs\r\n> Downloading cloudposse/route53-cluster-hostname/aws 0.9.0 for jenkins.efs.dns...\r\n> - jenkins.efs.dns in .terraform/modules/jenkins.efs.dns\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.efs.dns.this...\r\n> - jenkins.efs.dns.this in .terraform/modules/jenkins.efs.dns.this\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.efs.this...\r\n> - jenkins.efs.this in .terraform/modules/jenkins.efs.this\r\n> Downloading cloudposse/backup/aws 0.4.0 for jenkins.efs_backup...\r\n> - jenkins.efs_backup in .terraform/modules/jenkins.efs_backup\r\n> Downloading git::https://github.com/cloudposse/terraform-null-label.git?ref=tags/0.19.2 for jenkins.efs_backup.label_backup_role...\r\n> - jenkins.efs_backup.label_backup_role in .terraform/modules/jenkins.efs_backup.label_backup_role\r\n> Downloading git::https://github.com/cloudposse/terraform-null-label.git?ref=tags/0.19.2 for jenkins.efs_backup.this...\r\n> - jenkins.efs_backup.this in .terraform/modules/jenkins.efs_backup.this\r\n> Downloading cloudposse/elastic-beanstalk-application/aws 0.9.0 for jenkins.elastic_beanstalk_application...\r\n> - jenkins.elastic_beanstalk_application in .terraform/modules/jenkins.elastic_beanstalk_application\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.elastic_beanstalk_application.this...\r\n> - jenkins.elastic_beanstalk_application.this in .terraform/modules/jenkins.elastic_beanstalk_application.this\r\n> Downloading cloudposse/elastic-beanstalk-environment/aws 0.32.0 for jenkins.elastic_beanstalk_environment...\r\n> - jenkins.elastic_beanstalk_environment in .terraform/modules/jenkins.elastic_beanstalk_environment\r\n> Downloading cloudposse/route53-cluster-hostname/aws 0.9.0 for jenkins.elastic_beanstalk_environment.dns_hostname...\r\n> - jenkins.elastic_beanstalk_environment.dns_hostname in .terraform/modules/jenkins.elastic_beanstalk_environment.dns_hostname\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.elastic_beanstalk_environment.dns_hostname.this...\r\n> - jenkins.elastic_beanstalk_environment.dns_hostname.this in .terraform/modules/jenkins.elastic_beanstalk_environment.dns_hostname.this\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.elastic_beanstalk_environment.this...\r\n> - jenkins.elastic_beanstalk_environment.this in .terraform/modules/jenkins.elastic_beanstalk_environment.this\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.label_slaves...\r\n> - jenkins.label_slaves in .terraform/modules/jenkins.label_slaves\r\n> Downloading cloudposse/label/null 0.22.1 for jenkins.this...\r\n> - jenkins.this in .terraform/modules/jenkins.this\r\n> Downloading cloudposse/dynamic-subnets/aws 0.33.0 for subnets...\r\n> - subnets in .terraform/modules/subnets\r\n> Downloading cloudposse/label/null 0.22.0 for subnets.nat_instance_label...\r\n> - subnets.nat_instance_label in .terraform/modules/subnets.nat_instance_label\r\n> Downloading cloudposse/label/null 0.22.0 for subnets.nat_label...\r\n> - subnets.nat_label in .terraform/modules/subnets.nat_label\r\n> Downloading cloudposse/label/null 0.22.0 for subnets.private_label...\r\n> - subnets.private_label in .terraform/modules/subnets.private_label\r\n> Downloading cloudposse/label/null 0.22.0 for subnets.public_label...\r\n> - subnets.public_label in .terraform/modules/subnets.public_label\r\n> Downloading cloudposse/label/null 0.22.0 for subnets.this...\r\n> - subnets.this in .terraform/modules/subnets.this\r\n> Downloading cloudposse/utils/aws 0.2.0 for subnets.utils...\r\n> - subnets.utils in .terraform/modules/subnets.utils\r\n> Downloading cloudposse/label/null 0.22.0 for subnets.utils.this...\r\n> - subnets.utils.this in .terraform/modules/subnets.utils.this\r\n> Downloading cloudposse/label/null 0.22.1 for this...\r\n> - this in .terraform/modules/this\r\n> Downloading cloudposse/vpc/aws 0.18.1 for vpc...\r\n> - vpc in .terraform/modules/vpc\r\n> Downloading cloudposse/label/null 0.22.0 for vpc.label...\r\n> - vpc.label in .terraform/modules/vpc.label\r\n> Downloading cloudposse/label/null 0.22.0 for vpc.this...\r\n> - vpc.this in .terraform/modules/vpc.this\r\n> \r\n> Error: Unsupported Terraform Core version\r\n> \r\n> on .terraform/modules/jenkins.efs_backup.label_backup_role/versions.tf line 2, in terraform:\r\n> 2: required_version = ">= 0.12.0, < 0.14.0"\r\n> \r\n> Module module.jenkins.module.efs_backup.module.label_backup_role (from\r\n> git::https://github.com/cloudposse/terraform-null-label.git?ref=tags/0.19.2)\r\n> does not support Terraform version 0.14.4. To proceed, either choose another\r\n> supported Terraform version or update this version constraint. Version\r\n> constraints are normally set for good reason, so updating the constraint may\r\n> lead to other errors or unexpected behavior.\r\n> \r\n> \r\n> Error: Unsupported Terraform Core version\r\n> \r\n> on .terraform/modules/jenkins.efs_backup.this/versions.tf line 2, in terraform:\r\n> 2: required_version = ">= 0.12.0, < 0.14.0"\r\n> \r\n> Module module.jenkins.module.efs_backup.module.this (from\r\n> git::https://github.com/cloudposse/terraform-null-label.git?ref=tags/0.19.2)\r\n> does not support Terraform version 0.14.4. To proceed, either choose another\r\n> supported Terraform version or update this version constraint. Version\r\n> constraints are normally set for good reason, so updating the constraint may\r\n> lead to other errors or unexpected behavior.\r\n\r\nBasically the efs_backup submodule doesn't seem to support 0.14.x since it is locked in <0.14.0\r\n\r\nI have terraform 0.14.4\r\n\r\nAppreciate your help with this'
- 'Constant propagation computes wrong values\nGiven the following test file, computing the constant values for
x using scalpel results into a dictionary with three key-value pairs.\r\n\r\npython\r\nx = "a"\r\nx = "b"\r\nx = 1\r\n````\r\n\r\n python\r\nwith open("test_file.py", "r", encoding="utf-8") as source:\r\n code_str = source.read()\r\n\r\ncfg = CFGBuilder().build_from_src(name="", src=code_str)\r\n\r\n_, const_dict = SSA().compute_SSA(cfg)\r\n\r\nprint(const_dict)\r\n\r\n\r\n \r\n{('x', 0): <ast.Constant object at 0x0000021BC9EFA430>, ('x', 1): <ast.Constant object at 0x0000021BC9EFA430>, ('x', 2): <ast.Constant object at 0x0000021BC9EFA430>}\r\n````\r\n\r\nThat is what I expect. However, parsing the ast.Constant objects to get the actual values does not result into the correct values. Instead, I get the same value three times.\r\npython\r\n for key, value in const_dict.items():\r\n print(key, ast.unparse(value))\r\n \r\n\r\n(\'x\', 0) 1\r\n(\'x\', 1) 1\r\n(\'x\', 2) 1\r\n \r\nThis is not what I expect. Do you agree or am I missing something here?\r\n\r\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
model = SetFitModel.from_pretrained("setfit_model_id")
preds = model("Read the Docs
Implement read the docs for documentation")
Training Details
Training Set Metrics
Training set |
Min |
Median |
Max |
Word count |
3 |
186.9402 |
10443 |
Label |
Training Sample Count |
bug |
47 |
documentation |
33 |
feature |
60 |
question |
44 |
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
- l2_weight: 0.01
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False
Training Results
Epoch |
Step |
Training Loss |
Validation Loss |
0.0022 |
1 |
0.7229 |
- |
0.1087 |
50 |
0.2697 |
- |
0.2174 |
100 |
0.1336 |
- |
0.3261 |
150 |
0.0209 |
- |
0.4348 |
200 |
0.0026 |
- |
0.5435 |
250 |
0.001 |
- |
0.6522 |
300 |
0.0008 |
- |
0.7609 |
350 |
0.0006 |
- |
0.8696 |
400 |
0.0005 |
- |
0.9783 |
450 |
0.0004 |
- |
Framework Versions
- Python: 3.11.6
- SetFit: 1.1.0
- Sentence Transformers: 3.0.1
- Transformers: 4.44.2
- PyTorch: 2.4.1+cu121
- Datasets: 2.21.0
- Tokenizers: 0.19.1
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}
}