Dc-4nderson
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checkin-model

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 ---
-library_name: transformers
-tags: []
 ---
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 ---
+language: en
+tags:
+- text2text-generation
+- internship
+- check-in
+- daily-tasks
+- bart
+license: mit
+datasets:
+- custom
+metrics:
+- rouge
+model-index:
+- name: Check-In Expansion Model (BART)
+  results:
+  - task:
+      name: Text2Text Generation
+      type: text2text-generation
+    dataset:
+      name: Custom Internship Check-in Dataset
+      type: json
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 0.014810
 ---
+# Check-In Expansion Model (BART fine-tuned)
+This is a fine-tuned version of **facebook/bart-base** for **internship/tech daily check-in expansions**.
+It takes a short input (a concise task description) and outputs a more polished, detailed check-in note.
+## 🧩 Model Details
+- **Base Model**: [facebook/bart-base](https://huggingface.co/facebook/bart-base)
+- **Fine-tuned On**: 1130 examples (910 train / 220 eval) of custom internship-style check-in data.
+- **Task**: Expand a short input task into a more structured daily check-in.
+- **Language**: English
+## 🛠️ Intended Uses
+- Writing structured **internship progress updates**.
+- Generating more detailed **check-in notes** from short inputs.
+- Automating team updates in workflows (e.g., via **n8n + Hugging Face API**).
+## 🚀 Example
+**Input**
+```text
+This morning I’ll spend some time organizing scripts and later test a few cases I wrote yesterday.
+```
+**Output**
+```text
+Today, I’ll begin by organizing the scripts in my repository to make the project structure more manageable. Afterward, I’ll rerun the test cases I wrote yesterday to confirm they pass consistently. My objective is to reduce clutter, improve reliability, and ensure the codebase is stable before I move forward.
+```
+📊 Evaluation
+Trained with ROUGE evaluation metrics.
+ROUGE-1: ~ 0.014810
+⚖️ License
+MIT License
+📎 Citation
+If you use this model, please cite:
+@misc{checkin_bart_2025,
+  title={Check-In Expansion Model (BART fine-tuned)},
+  author={Anderson, Dequan},
+  year={2025},
+  publisher={Hugging Face}
+}