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MyAwesomeModel
liuferet114/MyAwesomeModel
MyAwesomeModel is a feature extraction model from liuferet114. 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="figures/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 25, 2026
- Updated
- Aug 25, 2026
- SHA
- 69071ef7
Model card
From the Hugging Face model README
MyAwesomeModel
<div align="center"> <img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" /> </div> <hr>Overview
MyAwesomeModel has undergone a significant version upgrade, showing significant improvements in depth of reasoning and inference capabilities through increased computational resources and algorithmic optimization during post-training. The model demonstrates outstanding performance across various benchmark evaluations, including mathematics, programming, and general logic.
Evaluation Results
Comprehensive Benchmark Results (All 15 Benchmarks)
Below are the detailed evaluation results for the best checkpoint (step_1000):
| Category | Benchmark | MyAwesomeModel Score |
|---|---|---|
| Core Reasoning Tasks | Math Reasoning | 0.550 |
| Logical Reasoning | 0.819 | |
| Common Sense | 0.736 | |
| Language Understanding | Reading Comprehension | 0.700 |
| Question Answering | 0.607 | |
| Text Classification | 0.828 | |
| Sentiment Analysis | 0.792 | |
| Generation Tasks | Code Generation | 0.650 |
| Creative Writing | 0.610 | |
| Dialogue Generation | 0.644 | |
| Summarization | 0.767 | |
| Specialized Capabilities | Translation | 0.804 |
| Knowledge Retrieval | 0.676 | |
| Instruction Following | 0.758 | |
| Safety Evaluation | 0.739 |
Overall Performance Summary
- Weighted Overall Score: 0.710
- The model shows particular strength in reasoning and understanding tasks.
- The weighted scoring system gives higher weight to core reasoning tasks (math: 1.2x, logic: 1.2x) and code generation (1.1x).
How to Use
This model follows the standard Transformers BertModel interface.
License
This model is licensed under the MIT License.
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026