Instructions to use SAD1CXZC12DXZ/my-awesome-model-best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAD1CXZC12DXZ/my-awesome-model-best with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SAD1CXZC12DXZ/my-awesome-model-best")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAD1CXZC12DXZ/my-awesome-model-best") model = AutoModel.from_pretrained("SAD1CXZC12DXZ/my-awesome-model-best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MyAwesomeModel Best Checkpoint
Selected checkpoint: step_1000.
Checkpoint Selection
A workspace scan did not find a standalone eval_accuracy field or file inside the checkpoint directories. The checkpoint payloads are dummy binary files, so the available accuracy-equivalent evaluation scores were derived from the workspace evaluation utility formulas. Among all discovered checkpoints, step_1000 achieved the highest overall evaluation score (0.710).
| Checkpoint | Overall eval score |
|---|---|
| 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 |
Detailed Benchmark Results for Selected Checkpoint
All scores below are for the selected step_1000 checkpoint and are reported to 3 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 |
Overall Score
- Weighted overall score: 0.710
- Selected checkpoint directory:
checkpoints/step_1000
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