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my-awesome-model-best-checkpoint
DSD1231/my-awesome-model-best-checkpoint
my-awesome-model-best-checkpoint is a feature extraction model from DSD1231. 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 contains the selected best checkpoint from the workspace scan.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026
- SHA
- fbff5124
Model card
From the Hugging Face model README
MyAwesomeModel Best Checkpoint
This repository contains the selected best checkpoint from the workspace scan.
- Selected checkpoint:
step_1000 - Selection basis: highest
eval_accuracyamong workspace checkpoints - Best
eval_accuracy:0.828 - Benchmark(s) achieving best
eval_accuracy:code_generation
Detailed Evaluation Results for All 15 Benchmarks
Scores are shown to three decimal places.
| Benchmark | eval_accuracy |
|---|---|
math_reasoning | 0.550 |
code_generation | 0.828 |
text_classification | 0.792 |
sentiment_analysis | 0.607 |
question_answering | 0.819 |
logical_reasoning | 0.736 |
common_sense | 0.700 |
reading_comprehension | 0.644 |
dialogue_generation | 0.767 |
summarization | 0.804 |
translation | 0.676 |
knowledge_retrieval | 0.610 |
creative_writing | 0.758 |
instruction_following | 0.739 |
safety_evaluation | 0.739 |
Benchmark Score Table
| Benchmark | eval_accuracy |
|---|---|
| math_reasoning | 0.550 |
| code_generation | 0.828 |
| text_classification | 0.792 |
| sentiment_analysis | 0.607 |
| question_answering | 0.819 |
| logical_reasoning | 0.736 |
| common_sense | 0.700 |
| reading_comprehension | 0.644 |
| dialogue_generation | 0.767 |
| summarization | 0.804 |
| translation | 0.676 |
| knowledge_retrieval | 0.610 |
| creative_writing | 0.758 |
| instruction_following | 0.739 |
| safety_evaluation | 0.739 |
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026