Update README.md

README.md

@@ -1,202 +1,54 @@
 ---
 base_model: t5-small
 library_name: peft
+license: apache-2.0
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
+# GitHub Tag Generator with T5 + PEFT (LoRA)
 
+This model is a fine-tuned version of `t5-small` using Parameter-Efficient Fine-Tuning (PEFT) with LoRA adapters. It is trained to generate relevant, deduplicated tags based on natural language descriptions of GitHub repositories. The goal is to assist in automatic tagging for improved search, discoverability, and categorization of repositories.
 
+---
 
 ## Model Details
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
-
+This model is part of a lightweight, end-to-end pipeline for automatic tag generation. It takes a short GitHub repo summary as input and returns a comma-separated list of tags. The model was fine-tuned using the PEFT library with LoRA to optimize only a small subset of parameters for efficiency and portability.
 
+- **Model type:** Seq2Seq text generation (T5)
+- **Language(s):** English
+- **License:** Apache 2.0
+- **Fine-tuned from model:** `t5-small` on Hugging Face
+- **LoRA Adapter Configuration:** `r=16`, `alpha=32`, `dropout=0.05`, target modules: ["q", "v"]
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+---
 
-### Model Sources [optional]
+## Model Sources
 
-<!-- Provide the basic links for the model. -->
+- **Dataset:** [zamal/github-meta-data](https://huggingface.co/datasets/zamal/github-meta-data)
+- **Model Repo:** [zamal/github-tag-generatorr](https://huggingface.co/zamal/github-tag-generatorr)
+- **Training Notebook:** [GitHub Tag Generator Notebook](https://github.com/huggingface/cookbook/pull/300)
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+---
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
 ### Direct Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
+The model can be used directly via the 🤗 Transformers `pipeline` or with `generate()` for:
 
-[More Information Needed]
+- Auto-tagging GitHub repos based on descriptions
+- Enhancing search filters in dev tools
+- Bootstrapping tags for new AI project listings
 
-## Model Card Contact
+### Example:
 
-[More Information Needed]
-### Framework versions
+```python
+from transformers import pipeline
+tag_generator = pipeline("text2text-generation", model="zamal/github-tag-generatorr")
 
-- PEFT 0.15.2
+text = "Looking for repos that show real-world AI use cases with open-source tools"
+tags = tag_generator(text)[0]["generated_text"]
+print(tags)  # e.g. ai, ml, open-source, examples
+```