Instructions to use asfafaf445/best-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asfafaf445/best-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asfafaf445/best-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asfafaf445/best-model") model = AutoModel.from_pretrained("asfafaf445/best-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MyAwesomeModel
Evaluation Results (step_1000 checkpoint)
All scores are reported to 3 decimal places:
| Benchmark | Score |
|---|---|
| Math Reasoning | 0.550 |
| Logical Reasoning | 0.623 |
| Code Generation | 0.517 |
| Question Answering | 0.670 |
| Reading Comprehension | 0.626 |
| Common Sense | 0.663 |
| Text Classification | 0.683 |
| Sentiment Analysis | 0.688 |
| Dialogue Generation | 0.561 |
| Summarization | 0.585 |
| Translation | 0.542 |
| Knowledge Retrieval | 0.622 |
| Creative Writing | 0.588 |
| Instruction Following | 0.637 |
| Safety Evaluation | 0.626 |
Overall Weighted Score: 0.611
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