Feature Extraction
Transformers
PyTorch
bert
reasoning
code-generation
language-model
mit
benchmarked
Instructions to use dsfsf445/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsf445/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dsfsf445/MyAwesomeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dsfsf445/MyAwesomeModel") model = AutoModel.from_pretrained("dsfsf445/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MyAwesomeModel
Model Information
Best Checkpoint: step_1000 (highest eval_accuracy: 0.875) Overall Weighted Score: 0.800
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.
Key Improvements
- Significantly improved reasoning capabilities (AIME 2025 accuracy increased from 70% to 87.5%)
- Reduced hallucination rate
- Enhanced support for function calling
- Supports system prompts
- No special tokens required at output beginning
Comprehensive Benchmark Evaluation Results (All 15 Benchmarks - 3 Decimal Places)
| Category | Benchmark | Score (3 decimals) |
|---|---|---|
| Core Reasoning Tasks | Math Reasoning | 0.875 |
| Logical Reasoning | 0.842 | |
| Common Sense | 0.789 | |
| Language Understanding | Reading Comprehension | 0.756 |
| Question Answering | 0.723 | |
| Text Classification | 0.867 | |
| Sentiment Analysis | 0.834 | |
| Generation Tasks | Code Generation | 0.781 |
| Creative Writing | 0.712 | |
| Dialogue Generation | 0.768 | |
| Summarization | 0.825 | |
| Specialized Capabilities | Translation | 0.847 |
| Knowledge Retrieval | 0.753 | |
| Instruction Following | 0.819 | |
| Safety Evaluation | 0.794 |
Performance Summary
The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.
Usage
System prompt recommendation:
You are MyAwesomeModel, a helpful AI assistant.
Today is {current date}.
Recommended temperature: 0.6
License
MIT License - supports commercial use and distillation.
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