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- library_name: transformers
 
 
 
 
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  tags:
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- - unsloth
 
 
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  ---
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- # Model Card for Model ID
 
 
 
 
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
 
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- ### Model Description
 
 
 
 
 
 
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- 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. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- 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).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- 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 [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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+ datasets:
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+ - Mykes/rus_med_dialogues
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+ language:
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+ - ru
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+ pipeline_tag: question-answering
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  tags:
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+ - biology
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+ - chemistry
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+ - medical
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  ---
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+ ## Supervised Fine-tuning of gemma-7b
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+ I used unsloth lib, unsloth/gemma-7b-bnb-4bit, rus_med_dialogues dataset
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+ 10 epochs, 2560 training steps on 1 x RTX 4090
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+ Training time was about 35 minutes
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+ The Training Loss in the end was 0.0939
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+ ## Parameters:
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+ `Unsloth: Fast Gemma patching release 2024.7`
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+ `GPU: NVIDIA GeForce RTX 4090. Max memory: 23.643 GB. Platform = Linux.`
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+ `Pytorch: 2.2.0+cu121. CUDA = 8.9. CUDA Toolkit = 12.1.`
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+ `Bfloat16 = TRUE. FA [Xformers = 0.0.24. FA2 = True]`
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+ ### Example of answer before finetuning:
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+ **input:**
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+ *'<bos>Below is the context which is your conversation history and the last user question. Write a response according the context and question. ### Context: user: У меня появились прыщи на лице. Я уже несколько дней пользуюсь этим средством, но они не проходят. Что мне делать? assistant: Я понимаю, что это может быть неприятно. Прыщи - это очень распространенная проблема, и у многих людей возникают трудности с их лечением. Возможно, стоит обратиться к дерматологу или косметологу, чтобы они правильно диагностировали причину прыщей и назначили подходящее лечение. ### Question: А можно ли лечить прыщи народными средствами?`*
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+ **output:**
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+ `### Response: ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________'
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+ ### After 10 epochs:
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+ **input**
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+ *<bos>Below is the context which is your conversation history and the last user question. Write a response according the context and question.*
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+ *### Context: user: Недавно мне делали операцию, а рана до сих пор не заживает? assistant: Я понимаю, что это может быть неприятно. Сколько времени прошло с момента операции.*
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+ *### Question: Месяц. Это сильно плохо?*
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+ **output:**
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+ ### Response: 1 месяц - это не так уж и много. В среднем раны заживают за 2-3 месяца. Но если Вы чувствуете сильную боль или не литров, обязательно обратитесь к своему хирургу для проверки.
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+ # Disclaimer
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+ The data provided is solely for research purposes. It may include inaccuracies, potentially harmful content, or biases, and we disclaim any responsibility for these issues. Users should assess the data's accuracy and appropriateness before utilizing it. The opinions and views represented in the data do not necessarily align with those of the author.