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MyAwesomeModel
A11asda/MyAwesomeModel
MyAwesomeModel is a feature extraction model from A11asda. 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 best checkpoint found in the training workspace. It was selected by comparing evalaccuracy across every discovered checkpoint.
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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
- b2ba7be6
Model card
From the Hugging Face model README
MyAwesomeModel
This repository contains the best checkpoint found in the training workspace.
It was selected by comparing eval_accuracy across every discovered checkpoint.
- Selected checkpoint:
step_1000 - eval_accuracy: 0.710
- Architecture declared by the checkpoint:
BertModel
Checkpoint comparison
| Checkpoint | eval_accuracy |
|---|---|
| step_100 | 0.480 |
| step_200 | 0.535 |
| step_300 | 0.576 |
| step_400 | 0.608 |
| step_500 | 0.635 |
| step_600 | 0.656 |
| step_700 | 0.674 |
| step_800 | 0.689 |
| step_900 | 0.700 |
| step_1000 | 0.710 |
Selected-checkpoint benchmark results
| 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 |
Files
The selected checkpoint's config.json and pytorch_model.bin are stored at the repository root for compatibility with transformers loading conventions.
Note: only checkpoint artifacts present in the workspace were published. No tokenizer files were available in the checkpoint directory.
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026