sfairXC
/

FsfairX-Zephyr-Chat-v0.1

@@ -2,22 +2,22 @@
 This model is the RLHF version of `HuggingFaceH4/mistral-7b-sft-beta` without any external responses.
-## Model Details
-### Model Description
-<!-- 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.
-- **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]
 ## Uses
@@ -49,136 +49,24 @@ print(outputs[0]["generated_text"])
 # Ah, me hearty matey! But yer question be a puzzler! A human cannot eat a helicopter in one sitting, as helicopters are not edible. They be made of metal, plastic, and other materials, not food!
 ```
-### 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]
-## References
 If you found this helpful, please cite the following papers.

 This model is the RLHF version of `HuggingFaceH4/mistral-7b-sft-beta` without any external responses.
+**We obtain 35.95% win-rate on Alpaca Eval v2.**
+## Model Details
+We perform 3 iterations of GSHF algorithm on `HuggingFaceH4/mistral-7b-sft-beta`, where prompts are generated by ChatGPT with self-instruct type prompt augmentation.
+We use AI-generated 60K prompts in the training process.
+```json
+{"prompt": "Why is gold considered a good reserve asset for central banks?"}
+{"prompt": "What are the top 5 yoga poses for stress relief?"}
+{"prompt": "Craft a blog title about the health implications of eating avocados daily based on their caloric value."}
+{"prompt": "Design a simple HTML chat interface that simulates a conversation between a user and a bot, displaying two messages from each."}
+{"prompt": "List 10 names from different cultures that embody the meanings of peace, harmony, or compassion."}
+```
 ## Uses
 # Ah, me hearty matey! But yer question be a puzzler! A human cannot eat a helicopter in one sitting, as helicopters are not edible. They be made of metal, plastic, and other materials, not food!
 ```
 ## Evaluation
+The evaluation on Alpaca Eval v2 are provided as below,
+| Model       | Win Rate | LC Win Rate | Avg Length |
+|-------------|----------|-------------|------------|
+| Base        | 4.63     | 8.01        | 916        |
+| Iteration 1 | 13.26    | 20.81       | 1205       |
+| Iteration 2 | 23.57    | 27.63       | 1623       |
+| Iteration 3 | 35.95    | 34.79       | 2275       |
+## Citation
 If you found this helpful, please cite the following papers.