Upload folder using huggingface_hub
Browse files- 1_Pooling/config.json +10 -0
- README.md +213 -0
- config.json +24 -0
- config_sentence_transformers.json +10 -0
- config_setfit.json +9 -0
- model.safetensors +3 -0
- model_head.pkl +3 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +72 -0
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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---
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library_name: setfit
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metrics:
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- accuracy
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pipeline_tag: text-classification
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tags:
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- setfit
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- sentence-transformers
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- text-classification
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- generated_from_setfit_trainer
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widget:
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- text: "Copy env-production to .env (setting up)\nHi, very sorry to ask, dont know\
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\ if here would be ok... but where can I get the env-production file to be copied\
|
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\ to .env? because here https://github.com/frappe/frappe_docker/wiki/Easiest-Install\
|
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\ says so but cant be found...```\r\n\r\nThanks,\r\n\r\n$ **cp env-production\
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\ .env**\r\n$ sed -i -e \"s/FRAPPE_VERSION=edge/FRAPPE_VERSION=v12.9.4/g\" .env\r\
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\n$ sed -i -e \"s/ERPNEXT_VERSION=edge/ERPNEXT_VERSION=v12.6.2/g\" .env\r\n$ sed\
|
| 18 |
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\ -i -e \"s/email@example.com/hello@myweb.com/g\" .env\r\n$ sed -i -e \"s/erp.example.com/erp.myweb.com/g\"\
|
| 19 |
+
\ .env\r\n$ sed -i -e \"s/ADMIN_PASSWORD=admin/ADMIN_PASSWORD=supersecret/g\"\
|
| 20 |
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\ .env\r\n$ sed -i -e \"s/MYSQL_ROOT_PASSWORD=admin/MYSQL_ROOT_PASSWORD=longsecretpassword/g\"\
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\ .env\r\n```"
|
| 22 |
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- text: "[BUG] Unwanted \"supported\" or \"unknown\" message\n## User Story\r\nI see\
|
| 23 |
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\ string \"supported\" on \"start\" command.\r\n\r\n## Basic info\r\n\r\n* **Distro:**\
|
| 24 |
+
\ Ubuntu 20.04.3 LTS\r\n* **Game:** Any\r\n* **Command:** start\r\n* **LinuxGSM\
|
| 25 |
+
\ version:** v21.5.0\r\n\r\n## Further Information\r\n\r\nProbably it is debug\
|
| 26 |
+
\ message from deps check. \"supported\" is replaced by \"unknown\" on unsupported\
|
| 27 |
+
\ distro.\r\nThis LGSM is upgraded from previous version.\r\n```\r\naaa@hostname:~$\
|
| 28 |
+
\ ./arma3server start\r\nsupported\r\nsupported\r\nsupported\r\n[ OK ] Starting\
|
| 29 |
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\ arma3server: server name\r\n```\r\n\r\n## To Reproduce\r\n\r\nSteps to reproduce\
|
| 30 |
+
\ the behaviour:\r\n1. Use start command\r\n\r\n## Expected behaviour\r\nSee only\
|
| 31 |
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\ \"[ OK ] Starting arma3server: server name\" message,"
|
| 32 |
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- text: 'Docs are still using `DBT_PROJECT_DIR`
|
| 33 |
+
|
| 34 |
+
This was switched to `ARTEFACTS_ DBT_PROJECT_DIR` last release.'
|
| 35 |
+
- text: 'Document CNI upgrade strategies
|
| 36 |
+
|
| 37 |
+
Document supported CNIs + supported CNI upgrade strategies.'
|
| 38 |
+
- text: 'Read the Docs
|
| 39 |
+
|
| 40 |
+
Implement read the docs for documentation'
|
| 41 |
+
inference: true
|
| 42 |
+
---
|
| 43 |
+
|
| 44 |
+
# SetFit
|
| 45 |
+
|
| 46 |
+
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
|
| 47 |
+
|
| 48 |
+
The model has been trained using an efficient few-shot learning technique that involves:
|
| 49 |
+
|
| 50 |
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1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
|
| 51 |
+
2. Training a classification head with features from the fine-tuned Sentence Transformer.
|
| 52 |
+
|
| 53 |
+
## Model Details
|
| 54 |
+
|
| 55 |
+
### Model Description
|
| 56 |
+
- **Model Type:** SetFit
|
| 57 |
+
<!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
|
| 58 |
+
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
|
| 59 |
+
- **Maximum Sequence Length:** 384 tokens
|
| 60 |
+
- **Number of Classes:** 4 classes
|
| 61 |
+
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
|
| 62 |
+
<!-- - **Language:** Unknown -->
|
| 63 |
+
<!-- - **License:** Unknown -->
|
| 64 |
+
|
| 65 |
+
### Model Sources
|
| 66 |
+
|
| 67 |
+
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
|
| 68 |
+
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
|
| 69 |
+
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
| 70 |
+
|
| 71 |
+
### Model Labels
|
| 72 |
+
| Label | Examples |
|
| 73 |
+
|:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 74 |
+
| bug | <ul><li>'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.'</li><li>'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](https://github.com/rstudio/rstudio/wiki/Writing-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](https://support.rstudio.com/hc/en-us/articles/200321257-Running-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'</li><li>'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'</li></ul> |
|
| 75 |
+
| feature | <ul><li>'Migrating Woo Comparison table to Sparks\n### Description:\r\nWe need to migrate the current comparison table to Sparks and remove it from Otter.'</li><li>'[bug] Hard code \'movie_id\' in neg_sampler.py\n<img width="914" alt="Screen Shot 2022-06-20 at 3 26 21 PM" src="https://user-images.githubusercontent.com/15731690/174547685-40628045-4d29-466c-a68a-ded28e1ced6d.png">\r\n\r\nUse item parameter instead of hard code \'movie_id\'.'</li><li>"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."</li></ul> |
|
| 76 |
+
| documentation | <ul><li>'Docs are still using `DBT_PROJECT_DIR`\nThis was switched to `ARTEFACTS_ DBT_PROJECT_DIR` last release.'</li><li>'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?'</li><li>'upgrade docs differ to fresh project setup docs regarding app-routing.module.ts\n**Describe the bug**\r\nWhen creating a fresh project by following [this guide](https://sap.github.io/spartacus-docs/building-the-spartacus-storefront-from-libraries-4-x/), 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](https://sap.github.io/spartacus-docs/updating-to-version-4/#migrating-to-the-reference-app-structure).\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'</li></ul> |
|
| 77 |
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| question | <ul><li>'softmax error\n\r\n\r\n**TensorRT Version**:TensorRT 8.4EA \r\n**NVIDIA GPU**: NVIDIA 2080T\r\n**CUDA Version**: cuda10.2\r\n**Operating 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'</li><li>'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'</li><li>'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\n```python\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\n```python\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'</li></ul> |
|
| 78 |
+
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| 79 |
+
## Uses
|
| 80 |
+
|
| 81 |
+
### Direct Use for Inference
|
| 82 |
+
|
| 83 |
+
First install the SetFit library:
|
| 84 |
+
|
| 85 |
+
```bash
|
| 86 |
+
pip install setfit
|
| 87 |
+
```
|
| 88 |
+
|
| 89 |
+
Then you can load this model and run inference.
|
| 90 |
+
|
| 91 |
+
```python
|
| 92 |
+
from setfit import SetFitModel
|
| 93 |
+
|
| 94 |
+
# Download from the 🤗 Hub
|
| 95 |
+
model = SetFitModel.from_pretrained("setfit_model_id")
|
| 96 |
+
# Run inference
|
| 97 |
+
preds = model("Read the Docs
|
| 98 |
+
Implement read the docs for documentation")
|
| 99 |
+
```
|
| 100 |
+
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+
<!--
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### Downstream Use
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*List how someone could finetune this model on their own dataset.*
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-->
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<!--
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### Out-of-Scope Use
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*List how the model may foreseeably be misused and address what users ought not to do with the model.*
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-->
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<!--
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## Bias, Risks and Limitations
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*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
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-->
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<!--
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### Recommendations
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*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
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| 123 |
+
-->
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| 124 |
+
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+
## Training Details
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| 126 |
+
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+
### Training Set Metrics
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+
| Training set | Min | Median | Max |
|
| 129 |
+
|:-------------|:----|:---------|:------|
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| 130 |
+
| Word count | 3 | 186.9402 | 10443 |
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+
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| Label | Training Sample Count |
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|:--------------|:----------------------|
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| bug | 47 |
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| documentation | 33 |
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+
| feature | 60 |
|
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| question | 44 |
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| 138 |
+
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+
### Training Hyperparameters
|
| 140 |
+
- batch_size: (16, 2)
|
| 141 |
+
- num_epochs: (1, 1)
|
| 142 |
+
- max_steps: -1
|
| 143 |
+
- sampling_strategy: oversampling
|
| 144 |
+
- num_iterations: 20
|
| 145 |
+
- body_learning_rate: (2e-05, 1e-05)
|
| 146 |
+
- head_learning_rate: 0.01
|
| 147 |
+
- loss: CosineSimilarityLoss
|
| 148 |
+
- distance_metric: cosine_distance
|
| 149 |
+
- margin: 0.25
|
| 150 |
+
- end_to_end: False
|
| 151 |
+
- use_amp: False
|
| 152 |
+
- warmup_proportion: 0.1
|
| 153 |
+
- l2_weight: 0.01
|
| 154 |
+
- seed: 42
|
| 155 |
+
- eval_max_steps: -1
|
| 156 |
+
- load_best_model_at_end: False
|
| 157 |
+
|
| 158 |
+
### Training Results
|
| 159 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
| 160 |
+
|:------:|:----:|:-------------:|:---------------:|
|
| 161 |
+
| 0.0022 | 1 | 0.7229 | - |
|
| 162 |
+
| 0.1087 | 50 | 0.2697 | - |
|
| 163 |
+
| 0.2174 | 100 | 0.1336 | - |
|
| 164 |
+
| 0.3261 | 150 | 0.0209 | - |
|
| 165 |
+
| 0.4348 | 200 | 0.0026 | - |
|
| 166 |
+
| 0.5435 | 250 | 0.001 | - |
|
| 167 |
+
| 0.6522 | 300 | 0.0008 | - |
|
| 168 |
+
| 0.7609 | 350 | 0.0006 | - |
|
| 169 |
+
| 0.8696 | 400 | 0.0005 | - |
|
| 170 |
+
| 0.9783 | 450 | 0.0004 | - |
|
| 171 |
+
|
| 172 |
+
### Framework Versions
|
| 173 |
+
- Python: 3.11.6
|
| 174 |
+
- SetFit: 1.1.0
|
| 175 |
+
- Sentence Transformers: 3.0.1
|
| 176 |
+
- Transformers: 4.44.2
|
| 177 |
+
- PyTorch: 2.4.1+cu121
|
| 178 |
+
- Datasets: 2.21.0
|
| 179 |
+
- Tokenizers: 0.19.1
|
| 180 |
+
|
| 181 |
+
## Citation
|
| 182 |
+
|
| 183 |
+
### BibTeX
|
| 184 |
+
```bibtex
|
| 185 |
+
@article{https://doi.org/10.48550/arxiv.2209.11055,
|
| 186 |
+
doi = {10.48550/ARXIV.2209.11055},
|
| 187 |
+
url = {https://arxiv.org/abs/2209.11055},
|
| 188 |
+
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
|
| 189 |
+
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
|
| 190 |
+
title = {Efficient Few-Shot Learning Without Prompts},
|
| 191 |
+
publisher = {arXiv},
|
| 192 |
+
year = {2022},
|
| 193 |
+
copyright = {Creative Commons Attribution 4.0 International}
|
| 194 |
+
}
|
| 195 |
+
```
|
| 196 |
+
|
| 197 |
+
<!--
|
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## Glossary
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*Clearly define terms in order to be accessible across audiences.*
|
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-->
|
| 202 |
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| 203 |
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<!--
|
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## Model Card Authors
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| 205 |
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+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
| 207 |
+
-->
|
| 208 |
+
|
| 209 |
+
<!--
|
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## Model Card Contact
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| 211 |
+
|
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+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
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-->
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config.json
ADDED
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| 1 |
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{
|
| 2 |
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"_name_or_path": "sentence-transformers/all-mpnet-base-v2",
|
| 3 |
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"architectures": [
|
| 4 |
+
"MPNetModel"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
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"hidden_act": "gelu",
|
| 10 |
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"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 3072,
|
| 14 |
+
"layer_norm_eps": 1e-05,
|
| 15 |
+
"max_position_embeddings": 514,
|
| 16 |
+
"model_type": "mpnet",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 12,
|
| 19 |
+
"pad_token_id": 1,
|
| 20 |
+
"relative_attention_num_buckets": 32,
|
| 21 |
+
"torch_dtype": "float32",
|
| 22 |
+
"transformers_version": "4.44.2",
|
| 23 |
+
"vocab_size": 30527
|
| 24 |
+
}
|
config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,10 @@
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| 1 |
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{
|
| 2 |
+
"__version__": {
|
| 3 |
+
"sentence_transformers": "3.0.1",
|
| 4 |
+
"transformers": "4.44.2",
|
| 5 |
+
"pytorch": "2.4.1+cu121"
|
| 6 |
+
},
|
| 7 |
+
"prompts": {},
|
| 8 |
+
"default_prompt_name": null,
|
| 9 |
+
"similarity_fn_name": null
|
| 10 |
+
}
|
config_setfit.json
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
+
{
|
| 2 |
+
"normalize_embeddings": false,
|
| 3 |
+
"labels": [
|
| 4 |
+
"bug",
|
| 5 |
+
"documentation",
|
| 6 |
+
"feature",
|
| 7 |
+
"question"
|
| 8 |
+
]
|
| 9 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85cda0e113d21326ad2e7bd3c1d5e51dba115c387981e0bcfa85cf7589e13986
|
| 3 |
+
size 437967672
|
model_head.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:42f2e25d1c1a9225404de00f4c37ab1122404d5f32bdd59c718b9bc7d572e264
|
| 3 |
+
size 25655
|
modules.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
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|
|
|
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|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"idx": 2,
|
| 16 |
+
"name": "2",
|
| 17 |
+
"path": "2_Normalize",
|
| 18 |
+
"type": "sentence_transformers.models.Normalize"
|
| 19 |
+
}
|
| 20 |
+
]
|
sentence_bert_config.json
ADDED
|
@@ -0,0 +1,4 @@
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|
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{
|
| 2 |
+
"max_seq_length": 384,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "[UNK]",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
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|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,72 @@
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"104": {
|
| 36 |
+
"content": "[UNK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"30526": {
|
| 44 |
+
"content": "<mask>",
|
| 45 |
+
"lstrip": true,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
}
|
| 51 |
+
},
|
| 52 |
+
"bos_token": "<s>",
|
| 53 |
+
"clean_up_tokenization_spaces": true,
|
| 54 |
+
"cls_token": "<s>",
|
| 55 |
+
"do_lower_case": true,
|
| 56 |
+
"eos_token": "</s>",
|
| 57 |
+
"mask_token": "<mask>",
|
| 58 |
+
"max_length": 128,
|
| 59 |
+
"model_max_length": 384,
|
| 60 |
+
"pad_to_multiple_of": null,
|
| 61 |
+
"pad_token": "<pad>",
|
| 62 |
+
"pad_token_type_id": 0,
|
| 63 |
+
"padding_side": "right",
|
| 64 |
+
"sep_token": "</s>",
|
| 65 |
+
"stride": 0,
|
| 66 |
+
"strip_accents": null,
|
| 67 |
+
"tokenize_chinese_chars": true,
|
| 68 |
+
"tokenizer_class": "MPNetTokenizer",
|
| 69 |
+
"truncation_side": "right",
|
| 70 |
+
"truncation_strategy": "longest_first",
|
| 71 |
+
"unk_token": "[UNK]"
|
| 72 |
+
}
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
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|
|
|