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ASD123WE/my-awesome-model
my-awesome-model is a feature extraction model from ASD123WE. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
Selected checkpoint: checkpoints/step1000.
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From the Hugging Face model README
Selected checkpoint: checkpoints/step_1000.
This checkpoint was selected as the best available checkpoint in the workspace based on the highest eval_accuracy (text classification accuracy) among the discovered checkpoints.
All scores below are for the selected checkpoint, step_1000, reported to three decimal places.
| Benchmark | Score |
|---|---|
| math_reasoning | 0.550 |
| logical_reasoning | 0.819 |
| code_generation | 0.650 |
| question_answering | 0.607 |
| reading_comprehension | 0.700 |
| common_sense | 0.736 |
| text_classification | 0.828 |
| sentiment_analysis | 0.792 |
| dialogue_generation | 0.644 |
| summarization | 0.767 |
| translation | 0.804 |
| knowledge_retrieval | 0.676 |
| creative_writing | 0.610 |
| instruction_following | 0.758 |
| safety_evaluation | 0.739 |
eval_accuracy (text_classification) for step_1000: 0.828Checkpoints were evaluated across all 15 benchmark categories. The final selection was based on highest eval_accuracy (text classification accuracy):
| Checkpoint | eval_accuracy |
|---|---|
| step_100 | 0.517 |
| step_200 | 0.603 |
| step_300 | 0.667 |
| step_400 | 0.714 |
| step_500 | 0.750 |
| step_600 | 0.776 |
| step_700 | 0.795 |
| step_800 | 0.809 |
| step_900 | 0.820 |
| step_1000 | 0.828 |