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my-awesome-model
zASE123/my-awesome-model
my-awesome-model is a feature extraction model from zASE123. 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 BERT-style model fine-tuned across many training steps. The best checkpoint (step 1000) achieves a weighted overall score of 0.71 across all 15 evaluation benchmarks.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Aug 26, 2026
- SHA
- 23c9687d
Model card
From the Hugging Face model README
MyAwesomeModel
MyAwesomeModel is a BERT-style model fine-tuned across many training steps. The best checkpoint (step 1000) achieves a weighted overall score of 0.71 across all 15 evaluation benchmarks.
Evaluation Results
Detailed benchmark scores for the best checkpoint (step_1000):
| # | Benchmark | Score |
|---|---|---|
| 1 | Math Reasoning | 0.550 |
| 2 | Logical Reasoning | 0.819 |
| 3 | Code Generation | 0.650 |
| 4 | Question Answering | 0.607 |
| 5 | Reading Comprehension | 0.700 |
| 6 | Common Sense | 0.736 |
| 7 | Text Classification | 0.828 |
| 8 | Sentiment Analysis | 0.792 |
| 9 | Dialogue Generation | 0.644 |
| 10 | Summarization | 0.767 |
| 11 | Translation | 0.804 |
| 12 | Knowledge Retrieval | 0.676 |
| 13 | Creative Writing | 0.610 |
| 14 | Instruction Following | 0.758 |
| 15 | Safety Evaluation | 0.739 |
Weighted Overall Score: 0.710
Model Details
- Model type: BERT (
BertModel) - Hidden size: 768
- Layers: 12
- Attention heads: 12
- Vocab size: 30522
- Total parameters: 109,482,240
License
MIT
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 15, 2026
- Updated
- Aug 26, 2026