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sfafas2234/MyAwesomeModel-step_1000
MyAwesomeModel-step_1000 is a feature extraction model from sfafas2234. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
<div align="center" <img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" / </div
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From the Hugging Face model README
checkpoints/step_1000eval_accuracy among workspace checkpointsAll 15 benchmark scores are listed below. Scores are formatted 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 |
This repository follows the MyAwesomeModel card. The selected checkpoint includes config.json, pytorch_model.bin, evaluation_results.json, and supporting figures.
MIT