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MyAwesomeModel
sdafaf33/MyAwesomeModel
MyAwesomeModel is a feature extraction model from sdafaf33. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
This repository holds the best checkpoint of MyAwesomeModel selected from the training run. The selected checkpoint is step1000.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jul 17, 2026
- Updated
- Sep 13, 2026
- SHA
- a195157c
Model card
From the Hugging Face model README
MyAwesomeModel
This repository holds the best checkpoint of MyAwesomeModel selected from the training run.
The selected checkpoint is step_1000.
Evaluation Results
Detailed evaluation results across all 15 benchmark categories, reported to three decimal places:
| Category | Benchmark | eval_accuracy |
|---|---|---|
| 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 |
Summary
- Number of benchmarks evaluated: 15
- Selected checkpoint:
step_1000 - Mean of all 15 eval_accuracy scores: 0.712
- Highest eval_accuracy: Text Classification (0.828)
- Lowest eval_accuracy: Math Reasoning (0.550)
License
MIT
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 17, 2026
- Updated
- Sep 13, 2026