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MyAwesomeModel
cxzsad12e/MyAwesomeModel
MyAwesomeModel is a feature extraction model from cxzsad12e. 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 — the best-performing checkpoint selected by the highest evalaccuracy across all training steps.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 31, 2026
- Updated
- Sep 11, 2026
- SHA
- a759be6f
Model card
From the Hugging Face model README
MyAwesomeModel
MyAwesomeModel — the best-performing checkpoint selected by the highest eval_accuracy across all training steps.
Selected Checkpoint
- Checkpoint:
step_1000 - Selection metric:
eval_accuracy(text classification accuracy) = 0.828 - Weighted overall score across all 15 benchmarks: computed from the table below
Evaluation Results — All 15 Benchmarks
Scores are reported to 3 decimal places, evaluated on the selected step_1000 checkpoint.
Core Reasoning Tasks
| Benchmark | Score |
|---|---|
| Math Reasoning | 0.550 |
| Logical Reasoning | 0.819 |
| Common Sense | 0.736 |
Language Understanding
| Benchmark | Score |
|---|---|
| Reading Comprehension | 0.700 |
| Question Answering | 0.607 |
| Text Classification | 0.828 |
| Sentiment Analysis | 0.792 |
Generation Tasks
| Benchmark | Score |
|---|---|
| Code Generation | 0.650 |
| Creative Writing | 0.610 |
| Dialogue Generation | 0.644 |
| Summarization | 0.767 |
Specialized Capabilities
| Benchmark | Score |
|---|---|
| Translation | 0.804 |
| Knowledge Retrieval | 0.676 |
| Instruction Following | 0.758 |
| Safety Evaluation | 0.739 |
Overall Weighted Score
0.710
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 31, 2026
- Updated
- Sep 11, 2026