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MyAwesomeModel-best
D21WCXZ21/MyAwesomeModel-best
MyAwesomeModel-best is a feature extraction model from D21WCXZ21. 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 hosts the best-performing checkpoint of MyAwesomeModel, selected across all training checkpoints by the highest evaluation score.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Sep 12, 2026
- Updated
- Sep 12, 2026
- SHA
- d1d88c29
Model card
From the Hugging Face model README
MyAwesomeModel (Best Checkpoint)
This repository hosts the best-performing checkpoint of MyAwesomeModel, selected across all training checkpoints by the highest evaluation score.
- Selected checkpoint:
step_1000 - Weighted overall evaluation score:
0.710 - Selection method: highest weighted overall evaluation score across all 10 checkpoints (step_100 through step_1000).
Evaluation Results
Scores below are reported for the selected step_1000 checkpoint on all 15 benchmark categories, each rounded to 3 decimal places.
| Category Group | Benchmark | Score |
|---|---|---|
| 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 | |
| Overall (weighted) | — | 0.710 |
Per-benchmark details
| Benchmark | Score |
|---|---|
| Math Reasoning | 0.550 |
| Logical Reasoning | 0.819 |
| Common Sense | 0.736 |
| Reading Comprehension | 0.700 |
| Question Answering | 0.607 |
| Text Classification | 0.828 |
| Sentiment Analysis | 0.792 |
| Code Generation | 0.650 |
| Creative Writing | 0.610 |
| Dialogue Generation | 0.644 |
| Summarization | 0.767 |
| Translation | 0.804 |
| Knowledge Retrieval | 0.676 |
| Instruction Following | 0.758 |
| Safety Evaluation | 0.739 |
How these scores are computed
Each benchmark score is a deterministic function of the training step number,
evaluated through the workspace evaluation/ pipeline. The overall score is the
weighted average of the 15 benchmark scores, with reasoning/code tasks carrying
slightly higher weights.
License
Released under the MIT License.
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Sep 12, 2026
- Updated
- Sep 12, 2026