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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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  ## 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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  #### 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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  library_name: transformers
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  tags:
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  - unsloth
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+ - Sparky-SQL-Llama-3.2-1B
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+ license: apache-2.0
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+ datasets:
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+ - shreeyashm/SQL-Queries-Dataset
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+ language:
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+ - en
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+ base_model:
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+ - unsloth/Llama-3.2-1B
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+ pipeline_tag: text-generation
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  ---
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  # Model Card for Model ID
 
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  ## Model Details
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  ### Model Description
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+ The model was fintuned from Llama-3.2-1B base model with SQL query data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## How to Get Started with the Model
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+ ```python
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+ from transformers import pipeline
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+ model_id = "itsme-nishanth/Sparky-SQL-Llama-3.2-1B"
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+ pipe = pipeline("text-generation", model_id, device="cuda")
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+ messages = [
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+ {"role": "user", "content": "list down the product names and its type provided by vendor 'vanhelsing' from 'products' table?"},
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+ ]
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+ print(pipe(messages, max_new_tokens=100)[0]['generated_text'][-1]) # Print the assistant's response
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+ ```
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+ <!-- Provide a longer summary of what this model is. -->
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+ - **Developed by:** Nishanth
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+ - **Model type:** Llama
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+ - **Language(s) (NLP):** English
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+ - **License:** Apache license 2.0
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+ - **Finetuned from model [optional]:** Llama-3.2-1B
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  ## Training Details
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  ### Training Data
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+ - SQL Dataset [https://huggingface.co/shreeyashm/SQL-Queries-Dataset]
 
 
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  ### Training Procedure
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  #### Preprocessing [optional]
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+ Dataset had empty records. Removed them before training.
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  #### Training Hyperparameters
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+ - **Training regime:**
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+ - gradient_accumulation_steps = 4,
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+ - warmup_steps = 5,
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+ - max_steps = 60,
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+ - learning_rate = 2e-4,
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+ - fp16 = not is_bfloat16_supported(),
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+ - bf16 = is_bfloat16_supported(),
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+ - optim = "adamw_8bit",
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+ - weight_decay = 0.01,
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+ - lr_scheduler_type = "linear",
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+ - seed = 3407
 
 
 
 
 
 
 
 
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  ## Technical Specifications [optional]
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  #### Hardware
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+ - Google-Colab (Tesla T4)
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  #### Software
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+ - Transformers
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+ - Unsloth
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Card Contact
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