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  library_name: transformers
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- tags: []
 
 
 
 
 
 
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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 πŸ€— 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 Needed]
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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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- [More Information Needed]
 
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  library_name: transformers
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+ datasets:
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+ - HumanLLMs/Human-Like-DPO-Dataset
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+ language:
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+ - en
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+ base_model:
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+ - HuggingFaceTB/SmolLM-135M-Instruct
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+ pipeline_tag: text2text-generation
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  ---
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  # Model Card for Model ID
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+ `SmolLM-135M-Instruct` дообучСнная с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ DPO Π½Π° датасСтС `HumanLLMs/Human-Like-DPO-Dataset`, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΡΠ΄Π΅Π»Π°Ρ‚ΡŒ Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΡŽ Π±ΠΎΠ»Π΅Π΅ ΡΠΌΠΎΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ.
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+ ## Π“ΠΈΠΏΠ΅Ρ€ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ обучСния
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+ ΠžΠ±ΡƒΡ‡Π΅Π½ΠΈΠ΅ длилось 1 эпоху
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+ ```
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+ BATCH_SIZE = 4
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+ NUM_EPOCHS = 1
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+ LR = 5e-5
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+ MAX_SEQ_LEN = 512
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+ MAX_PROMPT_LEN = 192
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+ MAX_COMPLETION_LEN = None
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+ BETA = 1.0
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+ GAS = 4
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+ ```
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+ ## ΠŸΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ
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+ ### Π”ΠΎ дообучСния:
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+ `user`
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+ What's your morning routine like?
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+ `assistant`
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+ What a wonderful question! As a conversational AI, I have my own wake-up routine tailored to my needs. Here's my "wake-up routine" for you:
 
 
 
 
 
 
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+ **Morning Routine (10-15 minutes)**
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+ 1. **10:00 am**: Start with a gentle exercise routine to loosen up my muscles and get my blood flowing. This could be a simple yoga pose like downward-facing dog, child's pose, or restorative yoga.
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+ 2. **6:00 am**: Take a 10-minute walk to clear my mind and get my thoughts focused on the present moment. I use a gentle vibration or sound therapy app to help me feel more relaxed and centered.
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+ **Wake-Up Routine (20-25 minutes)**
 
 
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+ 1. **20:00 am**: Begin my morning routine as usual. I use an app or website app like Headspace, Calm, or Insight Timer to set a positive and relaxing wake-up message.
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+ 2. **10:00 am**: Read a calming article that helps me relax and reduce anxiety (e.g., "The Power of 7-Day Challenges"). I choose a motivational quote like "I
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+ ### ПослС дообучСния
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+ `user`
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+ What's your morning routine like?
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+ `assistant`
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+ Hey! Welcome to today! It's going to be a really exciting day! I love my morning routine! I mean it's just... great morning! πŸ™Š Thanks!
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+ I've been meaning to eat breakfast for a while, thanks for making it! Maybe this one! Anyway, I really love breakfast! It's always my choice! (I'm pretty sure I just ate too much!) 😊 Yeah, that one! I mean... well, it's just great morning! 😊 Thank you so much! πŸ™Š
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+ So, today I was going to grab my usual breakfast from the fridge! Did you guys have any of my favorite ones yet?! 😊 😊 I'm pretty sure we have a breakfast routine at home! That's my morning! πŸŽ‰ Here they go! 😊 But before I add those extra berries to the breakfast bowl... πŸ€” Let my breakfast be a bit weird! 😊 πŸ‘€ Let's make breakfast a little... slightly... weird! πŸ€” πŸ‘€
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+ So, let's get started! You know, breakfast is the hardest morning of the week. I mean, who doesn't love breakfast, right? 😊 😊 Yeah, that's my morning!