Improve model card: Correct pipeline tag and add paper/Github links
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by
nielsr
HF Staff
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README.md
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library_name: transformers
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license: apache-2.0
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language:
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- en
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base_model:
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- answerdotai/ModernBERT-large
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pipeline_tag: text-classification
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author: Shreyan C (@thethinkmachine)
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# Maxwell Task Complexity Scorer-v0.2
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Maxwell-TCS-v0.2 is a task/instruction complexity score annotator based on the ModernBERT-Large and trained on a large dataset of English instructions. It is designed to be fast, efficient and accurate for scoring/annotation related tasks.
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## Model Details
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- **Model type:** Bidirectional Encoder Representations from Transformers, based on the ModernBERT-Large architecture.
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- **Language(s) (NLP):** English (en)
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- **License:** Apache License, Version 2.0
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- **Finetuned from model**: ModernBERT-Large
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### Recommendations
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## References
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- [[2312.15685] What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning](https://arxiv.org/abs/2312.15685)
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- [[2404.02948] PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://
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- [DEITA-Complexity](https://huggingface.co/datasets/BhabhaAI/DEITA-Complexity)
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- [ModernBERT-Large](https://huggingface.co/answerdotai/ModernBERT-large)
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---
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base_model:
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- answerdotai/ModernBERT-large
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language:
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- en
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library_name: transformers
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license: apache-2.0
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pipeline_tag: text-classification
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author: Shreyan C (@thethinkmachine)
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---
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# Maxwell Task Complexity Scorer-v0.2
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This repository contains the model from the [PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://huggingface.co/papers/2404.02948) paper.
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Maxwell-TCS-v0.2 is a task/instruction complexity score annotator based on the ModernBERT-Large and trained on a large dataset of English instructions. It is designed to be fast, efficient and accurate for scoring/annotation related tasks.
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## Model Details
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- **Model type:** Bidirectional Encoder Representations from Transformers, based on the ModernBERT-Large architecture.
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- **Language(s) (NLP):** English (en)
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- **License:** Apache License, Version 2.0
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- **Code:** [https://github.com/thethinkmachine/Maxwell-Task-Complexity-Scorer](https://github.com/thethinkmachine/Maxwell-Task-Complexity-Scorer)
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- **Finetuned from model**: ModernBERT-Large
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### Recommendations
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## References
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- [[2312.15685] What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning](https://arxiv.org/abs/2312.15685)
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- [[2404.02948] PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://huggingface.co/papers/2404.02948)
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- [DEITA-Complexity](https://huggingface.co/datasets/BhabhaAI/DEITA-Complexity)
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- [ModernBERT-Large](https://huggingface.co/answerdotai/ModernBERT-large)
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