{"id":27888819,"url":"https://github.com/torchstack-ai/bert-finetuning","last_synced_at":"2025-10-19T13:02:58.270Z","repository":{"id":236858453,"uuid":"793294609","full_name":"torchstack-ai/bert-finetuning","owner":"torchstack-ai","description":"This repository contains code that fine-tunes BERT for text classification on financial tweets.","archived":false,"fork":false,"pushed_at":"2024-05-05T06:06:12.000Z","size":74,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-05T09:28:50.985Z","etag":null,"topics":["bert","bert-fine-tuning","fine-tuning","huggingface","llm","mlflow","text-classification","twitter"],"latest_commit_sha":null,"homepage":"https://huggingface.co/torchstack/hf-bert-finetuning","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/torchstack-ai.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":"2024-04-28T23:53:12.000Z","updated_at":"2024-05-05T06:06:15.000Z","dependencies_parsed_at":"2024-05-05T07:20:55.836Z","dependency_job_id":"46d4f8bc-e42b-4818-b8e2-8db46190c5f7","html_url":"https://github.com/torchstack-ai/bert-finetuning","commit_stats":null,"previous_names":["torchstack-ai/bert-finetuning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/torchstack-ai%2Fbert-finetuning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/torchstack-ai%2Fbert-finetuning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/torchstack-ai%2Fbert-finetuning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/torchstack-ai%2Fbert-finetuning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/torchstack-ai","download_url":"https://codeload.github.com/torchstack-ai/bert-finetuning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252470893,"owners_count":21753068,"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","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":["bert","bert-fine-tuning","fine-tuning","huggingface","llm","mlflow","text-classification","twitter"],"created_at":"2025-05-05T09:28:50.372Z","updated_at":"2025-10-19T13:02:58.201Z","avatar_url":"https://github.com/torchstack-ai.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Summary\nThis tutorial covers fine-tuning a BERT model to perform sentiment analysis from the Financial Tweet Sentiment Dataset.\n\nWe applied the following tools in this notebook:\n\n* We used the HuggingFace library to perform data processing, fine-tune the BERT model, and evaluate the accuracy between the predicted class and reference.\n* We benchmarked the naive BERT model and the fine-tuned BERT model, and we were able to boost performance by 17%.\n* We used MLFlow for model training logging, which is a useful MLOps tool.\n\nFollow the our blog, [The Stack](https://torchstack.ai/blogs/torchstack) for more hands-on tutorials, reviews and summaries of essential AI concepts, and what we're seeing go on in the AI space. \n\nYou can also check out our [GitHub](https://github.com/torchstack-ai) page for more projects and code samples.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftorchstack-ai%2Fbert-finetuning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftorchstack-ai%2Fbert-finetuning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftorchstack-ai%2Fbert-finetuning/lists"}