update model card

README.md

@@ -1,199 +1,144 @@
+
 ---
 library_name: transformers
-tags: []
+tags: ["gpt2", "causal-lm", "fine-tuned", "chatbot"]
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
+# Model Card for GPT2-Chat (Fine-tuned)
 
+This is a fine-tuned version of **GPT-2** adapted for **chat-style generation**.  
+It was trained on conversational data to make GPT-2 behave more like ChatGPT, giving more interactive, coherent, and context-aware responses.  
 
+---
 
 ## Model Details
 
 ### Model Description
+- **Developed by:** Faijan Khan  
+- **Shared by:** [faizack](https://huggingface.co/faizack)  
+- **Model type:** Causal Language Model (decoder-only transformer)  
+- **Language(s):** English  
+- **License:** MIT (or same as GPT-2)  
+- **Finetuned from:** [gpt2](https://huggingface.co/gpt2)  
 
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+### Model Sources
+- **Repository:** [https://huggingface.co/faizack/gpt2-chat-ft](https://huggingface.co/faizack/gpt2-chat-ft)  
+- **Paper [GPT-2 original]:** [Language Models are Unsupervised Multitask Learners](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)  
 
-- **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]
-
-<!-- Provide the basic links for the model. -->
-
-- **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
+- Conversational AI experiments  
+- Chatbot prototyping  
+- Educational or research purposes  
 
-<!-- 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]
+### Downstream Use
+- Further fine-tuning for domain-specific dialogue (e.g., customer support, tutoring, storytelling).  
 
 ### Out-of-Scope Use
+- Not intended for production use without additional safety layers.  
+- Not suitable for sensitive domains like medical, legal, or financial advice.  
 
-<!-- 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]
+- May generate biased, offensive, or factually incorrect responses (inherited from GPT-2).  
+- Not aligned with RLHF like ChatGPT, so safety guardrails are minimal.  
 
 ### Recommendations
+- Use with human oversight.  
+- Add filtering, moderation, or reinforcement learning with human feedback (RLHF) if deploying in production.  
 
-<!-- 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.
+```python
+from transformers import pipeline
 
-[More Information Needed]
+chatbot = pipeline("text-generation", model="faizack/gpt2-chat-ft")
+
+prompt = "Hello, how are you?"
+response = chatbot(prompt, max_new_tokens=100, do_sample=True, temperature=0.7)
+print(response[0]["generated_text"])
+````
+
+---
 
 ## 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]
+* Fine-tuned on conversational datasets (prompt → response pairs).
 
 ### 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]
-
+* Base model: `gpt2`
+* Objective: Causal LM (next token prediction).
+* Mixed precision: fp16 training.
+* Optimizer: AdamW.
 
 #### 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]
+* Learning rate: 5e-5
+* Batch size: 4
+* Epochs: 3
+* Warmup steps: 500
 
-<!-- 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
+### 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]
+* **Perplexity (PPL)** for fluency.
+* Manual qualitative evaluation for coherence.
 
 ### Results
 
-[More Information Needed]
+* Lower perplexity on conversational prompts compared to base GPT-2.
+* Produces more context-aware and fluent chat responses.
 
-#### 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:** NVIDIA A100 (40GB)
+* **Training time:** \~2 hours
+* **Cloud Provider:** Vast.ai (example)
+* **Carbon Emitted:** Estimated <10 kg CO2eq
 
-- **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]
+## Technical Specifications
 
-### Model Architecture and Objective
+### Model Architecture
 
-[More Information Needed]
+* Transformer decoder-only (117M parameters).
+* Context length: 1024 tokens.
 
 ### Compute Infrastructure
 
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
+* **Hardware:** 1x NVIDIA A100
+* **Software:** PyTorch, Hugging Face Transformers, Accelerate.
 
-[More Information Needed]
+---
 
-## Citation [optional]
+## Citation
 
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+If you use this model, please cite GPT-2 and this fine-tuned version:
 
 **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]
-
-[More Information Needed]
-
-## Model Card Contact
+```bibtex
+@misc{faizack2025gpt2chat,
+  author = {Faijan Khan},
+  title = {GPT2-Chat Fine-tuned Model},
+  year = {2025},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/faizack/gpt2-chat-ft}}
+}
+```
 
-[More Information Needed]