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my-awesome-model
sfafasgag5657/my-awesome-model
my-awesome-model is a feature extraction model from sfafasgag5657. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
MyAwesomeModel is a large language model optimized for reasoning, generation, and general knowledge tasks, trained for 1000 steps to achieve strong performance across a wide range of benchmarks.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026
- SHA
- 9f3d45b5
Model card
From the Hugging Face model README
MyAwesomeModel
Model Description
MyAwesomeModel is a large language model optimized for reasoning, generation, and general knowledge tasks, trained for 1000 steps to achieve strong performance across a wide range of benchmarks.
Evaluation Results
Comprehensive Benchmark Scores (step 1000, 3 decimal places)
| Benchmark Category | Score |
|---|---|
| Math Reasoning | 0.550 |
| Code Generation | 0.650 |
| Text Classification | 0.828 |
| Sentiment Analysis | 0.792 |
| Question Answering | 0.607 |
| Logical Reasoning | 0.819 |
| Common Sense Reasoning | 0.736 |
| Reading Comprehension | 0.700 |
| Dialogue Generation | 0.644 |
| Summarization | 0.767 |
| Translation | 0.804 |
| Knowledge Retrieval | 0.676 |
| Creative Writing | 0.610 |
| Instruction Following | 0.758 |
| Safety Evaluation | 0.739 |
Overall Performance
The weighted overall score across all benchmarks is 0.710, with higher weights assigned to reasoning and critical capabilities.
Usage
This model can be loaded using the Hugging Face Transformers library:
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("sfafasgag5657/my-awesome-model")
tokenizer = AutoTokenizer.from_pretrained("sfafasgag5657/my-awesome-model")
License
This model is released under the MIT License.
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026