{"id":19819210,"url":"https://github.com/es7/adobe-behaviour-simulation-challenge","last_synced_at":"2025-08-30T09:06:52.989Z","repository":{"id":258552068,"uuid":"871319059","full_name":"ES7/Adobe-Behaviour-Simulation-Challenge","owner":"ES7","description":"Problem Statements of InterIIT TechMeet 13.0 by Adobe","archived":false,"fork":false,"pushed_at":"2024-10-17T10:51:28.000Z","size":1439,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-30T09:06:52.400Z","etag":null,"topics":["adobe","artificial-intelligence","interiit-techmeet","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ES7.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-11T17:53:38.000Z","updated_at":"2024-11-16T07:35:51.000Z","dependencies_parsed_at":"2024-10-20T13:50:10.864Z","dependency_job_id":null,"html_url":"https://github.com/ES7/Adobe-Behaviour-Simulation-Challenge","commit_stats":null,"previous_names":["es7/adobe-behaviour-simulation-challenge"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ES7/Adobe-Behaviour-Simulation-Challenge","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FAdobe-Behaviour-Simulation-Challenge","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FAdobe-Behaviour-Simulation-Challenge/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FAdobe-Behaviour-Simulation-Challenge/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FAdobe-Behaviour-Simulation-Challenge/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ES7","download_url":"https://codeload.github.com/ES7/Adobe-Behaviour-Simulation-Challenge/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FAdobe-Behaviour-Simulation-Challenge/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272827489,"owners_count":24999813,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-30T02:00:09.474Z","response_time":77,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adobe","artificial-intelligence","interiit-techmeet","machine-learning"],"created_at":"2024-11-12T10:18:14.713Z","updated_at":"2025-08-30T09:06:52.962Z","avatar_url":"https://github.com/ES7.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Adobe-Behaviour-Simulation-Challenge\nThis repository contains my team's solution for the Mid Prep Problem Statement of InterIIT TechMeet 13.0, **\"Adobe Behaviour Simulation Challenge\"** by Adobe.\n\n## Data\n- **1. Image_Captioning.ipynb:** In this notebook we have downloaded the media files and generate caption for them using **BLIP** model. \u003cbr\u003e\n- **2. 100K_Data_Generation.ipynb:** In this notebook we have reduced the length of the actual dataset (300K) and only consider the first 100K samples. \u003cbr\u003e\n- **3. Data_Cleaning.ipynb:** In this notebook we have combined the tokenized content text with the generated captions along with their embeddings, and then splitted this into train and test datasets.\n\n## Task 1\n- **Tokenization.ipynb:** In this notebook we have tokenized the content (captions) of the given dataset using the **DistilBERT** tokenizer. \u003cbr\u003e\n- **Creating_Prompts.ipynb:** In this notebook we have written prompt to convert the data into more organized format for the bucketing process. \u003cbr\u003e\n- **Bucketing.ipynb:** In this notebook we have created 7 buckets (classes) and trained the **DistilBERT** model for this classification task.\n![](Task1/Task1_diagram.png)\n\n## Task 2\n- **FineTune.ipynb:** In this notebook we have Fine Tuned the **Bloom 7b** and **Qwen 1.5b** models using **LoRA** and **PEFT** techniques.\u003cbr\u003e\n- **Inference.ipynb:** In this notebook, using the fine tuned models we have performed predictions on the first 500 samples.\u003cbr\u003e\n- **Test_Metrics.ipynb:** In this notebook we have used **BLEU (1-4)**, **ROUGE (1,2,L)** and **CIDEr** metrics to evaluate the model's predictions with the original captions.\u003cbr\u003e\n![](Task2/Task2_diagram.png)\n\n## Team\n* [**Ebad Sayed**](https://github.com/ES7) \u003cbr\u003e\n* [**Aaditya Jain**](https://github.com/a-aditya-jain)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fes7%2Fadobe-behaviour-simulation-challenge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fes7%2Fadobe-behaviour-simulation-challenge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fes7%2Fadobe-behaviour-simulation-challenge/lists"}