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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ tags:
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+ - textual-entailment
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+ - logical-reasoning
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+ - deberta
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # Model Card for DELTA<sub>M</sub>
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ <!-- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). -->
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ This is the model DELTA<sub>M</sub> which is a DeBERTaV3 large model fine-tuned on the DELTA<sub>D</sub> dataset.
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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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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+ - **License:** MIT
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+ - **Finetuned from model:** `microsoft/deberta-v3-large`
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+
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+ ### Model Sources
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+ <!-- Provide the basic links for the model. -->
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+ - **Repository:** https://github.com/angelosps/DELTA
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+ - **Paper:** [Transformers in the Service of Description Logic-based Contexts](https://arxiv.org/abs/2311.08941)
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+
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+ <!-- - **Demo [optional]:** [More Information Needed] -->
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+
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+ <!-- ## Uses
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+
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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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+
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+ <!-- ### Direct Use -->
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+
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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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+
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+ <!-- [More Information Needed] -->
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+
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+ <!-- ### Downstream Use [optional] -->
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+
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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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+
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+ <!-- [More Information Needed] -->
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+
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+
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+ <!-- ## Training Details
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+
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+ ### Training Data -->
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+
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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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+
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+ <!-- [More Information Needed]
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+
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+ ### Training Procedure -->
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+
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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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+
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+
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+ <!-- #### Training Hyperparameters
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+
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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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+
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+ <!-- #### Speeds, Sizes, Times [optional] -->
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ <!-- [More Information Needed]
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+
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+ ## Evaluation -->
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ <!-- ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+ -->
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ <!-- [More Information Needed]
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+
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+ #### Factors -->
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ <!-- [More Information Needed]
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+
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+ #### Metrics -->
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ <!-- [More Information Needed]
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+
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+ ### Results
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+ [More Information Needed] -->
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+
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+ <!-- #### Summary -->
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+
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+
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+ <!-- ## Environmental Impact
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+
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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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+ <!--
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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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+
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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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+
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+ <!-- ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+ -->
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+
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+ ## Citation
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+
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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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+
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+ **BibTeX:**
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+ ```
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+ @misc{poulis2024transformers,
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+ title={Transformers in the Service of Description Logic-based Contexts},
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+ author={Angelos Poulis and Eleni Tsalapati and Manolis Koubarakis},
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+ year={2024},
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+ eprint={2311.08941},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```
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+
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+ <!-- ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed] -->