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--- |
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base_model: Qwen/Qwen2.5-1.5B-Instruct |
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library_name: peft |
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pipeline_tag: text-generation |
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tags: |
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- base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct |
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- lora |
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- transformers |
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license: mit |
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extra_gated_fields: |
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Company: text |
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Country: country |
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I want to use this model for: |
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type: select |
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options: |
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- Commercial |
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- Research |
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- Education |
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- label: Other |
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value: other |
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--- |
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# Model Card for Model ID |
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Small language model to interpret time series data in natural language. Supporting paper has been accepted to ICML 2025 Workshop on Foundation Models for structured data: https://arxiv.org/abs/2507.07439 |
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## Model Details |
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### Model Description |
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**`outsampler-ts-slm`** is a post-trained small language model (SLM) derived from [`Qwen2.5-1.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct). It is designed to **interpret time series data using natural language** and was fine-tuned using LoRA (PEFT) techniques. |
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- **Developed by:** Outsampler and University of Strasbourg |
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- **Funded by [optional]:** |
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- **Shared by [optional]:** |
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- **Model type:** Small Language Model (SLM) |
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- **Language(s) (NLP):** English |
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- **License:** MIT |
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- **Finetuned from model [optional]:** Qwen2.5-1.5B-Instruct |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** (https://github.com/svitlana-outsampler/ITS_ICML2025) |
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- **Paper [optional]:** http://arxiv.org/abs/2507.07439 |
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- **Demo [optional]:** |
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## Access & Usage |
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To download and use this model, users are required to provide: |
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- **Name** |
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- **Email** |
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- **Affiliation (e.g., university, company, research group)** |
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This helps us understand usage and improve future releases. |
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Access is granted automatically. |
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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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[More Information Needed] |
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### Results |
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[More Information Needed] |
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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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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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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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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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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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[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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[More Information Needed] |
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### Framework versions |
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- PEFT 0.16.0 |
