MyAwesomeModel

DSAD2CSA2ZC/MyAwesomeModel

MyAwesomeModel is a feature extraction model from DSAD2CSA2ZC. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.

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At a glance

Task: Feature Extraction
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Sep 14, 2026
Updated: Sep 14, 2026
SHA: c8d5811c

Model card

From the Hugging Face model README

MyAwesomeModel

Model Description

The MyAwesomeModel has undergone a significant version upgrade. In the latest update, MyAwesomeModel has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational resources and introducing algorithmic optimization mechanisms during post-training. The model has demonstrated outstanding performance across various benchmark evaluations, including mathematics, programming, and general logic. Its overall performance is now approaching that of other leading models.

Compared to the previous version, the upgraded model shows significant improvements in handling complex reasoning tasks. For instance, in the AIME 2025 test, the model's accuracy has increased from 70% in the previous version to 87.5% in the current version. This advancement stems from enhanced thinking depth during the reasoning process: in the AIME test set, the previous model used an average of 12K tokens per question, whereas the new version averages 23K tokens per question.

Beyond its improved reasoning capabilities, this version also offers a reduced hallucination rate and enhanced support for function calling.

Evaluation Results

Comprehensive Benchmark Results

	Benchmark	Model1	Model2	Model1-v2	MyAwesomeModel
Core Reasoning Tasks	Math Reasoning	0.510	0.535	0.521	0.550
	Logical Reasoning	0.789	0.801	0.810	0.819
	Common Sense	0.716	0.702	0.725	0.736
Language Understanding	Reading Comprehension	0.671	0.685	0.690	0.700
	Question Answering	0.582	0.599	0.601	0.607
	Text Classification	0.803	0.811	0.820	0.828
	Sentiment Analysis	0.777	0.781	0.790	0.792
Generation Tasks	Code Generation	0.615	0.631	0.640	0.650
	Creative Writing	0.588	0.579	0.601	0.610
	Dialogue Generation	0.621	0.635	0.639	0.644
	Summarization	0.745	0.755	0.760	0.767
Specialized Capabilities	Translation	0.782	0.799	0.801	0.804
	Knowledge Retrieval	0.651	0.668	0.670	0.676
	Instruction Following	0.733	0.749	0.751	0.758
	Safety Evaluation	0.718	0.701	0.725	0.739

Detailed Evaluation Results by Benchmark

Below are the detailed evaluation results for all 15 benchmark categories:

Math Reasoning: 0.550
Logical Reasoning: 0.819
Common Sense: 0.736
Reading Comprehension: 0.700
Question Answering: 0.607
Text Classification: 0.828
Sentiment Analysis: 0.792
Code Generation: 0.650
Creative Writing: 0.610
Dialogue Generation: 0.644
Summarization: 0.767
Translation: 0.804
Knowledge Retrieval: 0.676
Instruction Following: 0.758
Safety Evaluation: 0.739

Overall Performance Summary

The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks. The overall weighted evaluation score is 0.710.

Usage

System Prompt

We recommend using the following system prompt with a specific date.

You are MyAwesomeModel, a helpful AI assistant.
Today is {current date}.

Temperature

We recommend setting the temperature parameter $T_{model}$ to 0.6.

License

This code repository is licensed under the MIT License. The use of MyAwesomeModel models is also subject to the MIT License. The model series supports commercial use and distillation.

Task: Feature Extraction
Library: transformers
Type: bert
License: mit
Created: Sep 14, 2026
Updated: Sep 14, 2026