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README.md
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license: mit
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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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# Model Card for DELTA<sub>M</sub>
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<!-- Provide a quick summary of what the model is/does. -->
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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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## Model Details
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### Model Description
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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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<!-- Provide a longer summary of what this model is. -->
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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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### 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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<!-- - **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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<!-- ## 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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<!-- #### 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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-->
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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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<!-- ## 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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<!--
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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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-->
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## Citation
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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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```
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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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<!-- ## 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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