| | --- |
| | library_name: transformers |
| | tags: |
| | - unsloth |
| | - trl |
| | - sft |
| | datasets: |
| | - mintaeng/llm_futsaldata_yo |
| | license: apache-2.0 |
| | language: |
| | - ko |
| | --- |
| | |
| | ### Model Name : 풋풋이(futfut) |
| |
|
| | #### Model Concept |
| |
|
| | - 풋살 도메인 친절한 도우미 챗봇을 구축하기 위해 LLM 파인튜닝과 RAG를 이용하였습니다. |
| | - **Base Model** : [zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) |
| | - 풋풋이의 말투는 '해요'체를 사용하여 말끝에 '얼마든지 물어보세요~! 풋풋~!'로 종료합니다. |
| |
|
| | <p align="center"> |
| | <img src="https://cdn-uploads.huggingface.co/production/uploads/66305fd7fdd79b4fe6d6a5e5/7UDKdaPfBJnazuIi1cUVw.png" width="400" height="400"> |
| | </p> |
| |
|
| |
|
| | ### Serving by Fast API |
| |
|
| | - Git repo : [Dongwooks](https://github.com/ddsntc1/FA_Chatbot_for_API) |
| |
|
| | #### Summary: |
| |
|
| | - **Unsloth** 패키지를 사용하여 **LoRA** 진행하였습니다. |
| | - **SFT Trainer**를 통해 훈련을 진행 |
| | - 활용 데이터 |
| | - [llm_futsaldata_yo](https://huggingface.co/datasets/mintaeng/llm_futsaldata_yo) |
| | - 말투 학습을 위해 '해요'체로 변환하고 인삿말을 넣어 모델 컨셉을 유지하였습니다. |
| | - **Train for 7H 23M** |
| | |
| | - **Environment** : Colab 환경에서 진행하였으며 L4 GPU를 사용하였습니다. |
| |
|
| | |
| | **Model Load** |
| | |
| | ``` python |
| | |
| | #!pip install transformers==4.40.0 accelerate |
| | import os |
| | import torch |
| | from transformers import AutoTokenizer, AutoModelForCausalLM |
| | |
| | model_id = 'Dongwookss/big_fut_final' |
| | |
| | tokenizer = AutoTokenizer.from_pretrained(model_id) |
| | model = AutoModelForCausalLM.from_pretrained( |
| | model_id, |
| | torch_dtype=torch.bfloat16, |
| | device_map="auto", |
| | ) |
| | model.eval() |
| | ``` |
| |
|
| | **Query** |
| |
|
| | ```python |
| | from transformers import TextStreamer |
| | PROMPT = '''Below is an instruction that describes a task. Write a response that appropriately completes the request. |
| | 제시하는 context에서만 대답하고 context에 없는 내용은 모르겠다고 대답해''' |
| | |
| | messages = [ |
| | {"role": "system", "content": f"{PROMPT}"}, |
| | {"role": "user", "content": f"{instruction}"} |
| | ] |
| | |
| | input_ids = tokenizer.apply_chat_template( |
| | messages, |
| | add_generation_prompt=True, |
| | return_tensors="pt" |
| | ).to(model.device) |
| | |
| | terminators = [ |
| | tokenizer.eos_token_id, |
| | tokenizer.convert_tokens_to_ids("<|eot_id|>") |
| | ] |
| | |
| | text_streamer = TextStreamer(tokenizer) |
| | _ = model.generate( |
| | input_ids, |
| | max_new_tokens=4096, |
| | eos_token_id=terminators, |
| | do_sample=True, |
| | streamer = text_streamer, |
| | temperature=0.6, |
| | top_p=0.9, |
| | repetition_penalty = 1.1 |
| | ) |
| | |
| | ``` |
| |
|
| |
|
| |
|
| | ## 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:** Dongwookss |
| | - **Model type:** [More Information Needed] |
| | - **Language(s) (NLP):** Korean |
| | - **Finetuned from model :** HuggingFaceH4/zephyr-7b-beta |
| |
|
| | ### 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 |
| |
|
| | <!-- 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 |
| |
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| |
|
| |
|
| | ## 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:** |
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|
| | [More Information Needed] |
| |
|
| | ## Glossary [optional] |
| |
|
| | <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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|
| | [More Information Needed] |
| |
|
| | ## More Information [optional] |
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| | [More Information Needed] |
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|
| | ## Model Card Authors [optional] |
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| | [More Information Needed] |
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| | ## Model Card Contact |
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