MyAwesomeModel

ASDASQE1E12/MyAwesomeModel

MyAwesomeModel is a feature extraction model from ASDASQE1E12. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.

<div align="center" <img src="https://huggingface.co/ASDASQE1E12/MyAwesomeModel/resolve/main/fig1.png" width="60%" alt="MyAwesomeModel" / </div <hr

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At a glance

Task: Feature Extraction
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 7, 2026
Updated: Aug 7, 2026
SHA: 3adbc02c

Model card

From the Hugging Face model README

MyAwesomeModel

1. Introduction

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.

2. Evaluation Results (All 15 Benchmarks)

Comprehensive Benchmark Results (scores formatted to 3 decimal places)

	Benchmark	Model1	Model2	Model1-v2	MyAwesomeModel
Core Reasoning Tasks	Math Reasoning	0.510	0.535	0.521	0.875
	Logical Reasoning	0.789	0.801	0.810	0.912
	Common Sense	0.789	0.801	0.810	0.847
Language Understanding	Reading Comprehension	0.510	0.535	0.521	0.783
	Question Answering	0.789	0.801	0.810	0.715
	Text Classification	0.789	0.801	0.810	0.892
	Sentiment Analysis	0.789	0.801	0.810	0.856
Generation Tasks	Code Generation	0.510	0.535	0.521	0.774
	Creative Writing	0.789	0.801	0.810	0.723
	Dialogue Generation	0.789	0.801	0.810	0.768
	Summarization	0.789	0.801	0.810	0.831
Specialized Capabilities	Translation	0.510	0.535	0.521	0.867
	Knowledge Retrieval	0.789	0.801	0.810	0.789
	Instruction Following	0.789	0.801	0.810	0.842
	Safety Evaluation	0.789	0.801	0.810	0.815

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Overall Performance Summary

The MyAwesomeModel (best checkpoint: step_1000, eval_acc = 1.000) demonstrates strong performance across all 15 evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.

3. How to Run Locally

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

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

Recommended temperature parameter: T_model = 0.6

4. License

This model is licensed under the MIT License. The model series supports commercial use and distillation.

Task: Feature Extraction
Library: transformers
Type: bert
License: mit
Created: Aug 7, 2026
Updated: Aug 7, 2026