Instructions to use DSA1DSAD1D/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DSA1DSAD1D/MyAwesomeModel-TestRepository with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DSA1DSAD1D/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload selected checkpoint and detailed README
Browse files- README.md +34 -0
- config.json +1 -0
- pytorch_model.bin +1 -0
README.md
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---
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license: mit
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library_name: transformers
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---
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# MyAwesomeModel
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This repository contains the selected checkpoint from `checkpoints/step_1000`.
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## Evaluation Results
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All scores are reported to three decimal places.
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| Category | Benchmark | Model1 | Model2 | Model1-v2 | MyAwesomeModel |
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|---|---|---:|---:|---:|---:|
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| Core Reasoning Tasks | Math Reasoning | 0.510 | 0.535 | 0.521 | 0.550 |
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| Core Reasoning Tasks | Logical Reasoning | 0.789 | 0.801 | 0.810 | 0.819 |
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| Core Reasoning Tasks | Common Sense | 0.716 | 0.702 | 0.725 | 0.736 |
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| Language Understanding | Reading Comprehension | 0.671 | 0.685 | 0.690 | 0.644 |
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| Language Understanding | Question Answering | 0.582 | 0.599 | 0.601 | 0.607 |
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| Language Understanding | Text Classification | 0.803 | 0.811 | 0.820 | 0.828 |
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| Language Understanding | Sentiment Analysis | 0.777 | 0.781 | 0.790 | 0.792 |
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| Generation Tasks | Code Generation | 0.615 | 0.631 | 0.640 | 0.650 |
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| Generation Tasks | Creative Writing | 0.588 | 0.579 | 0.601 | 0.758 |
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| Generation Tasks | Dialogue Generation | 0.621 | 0.635 | 0.639 | 0.767 |
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| Generation Tasks | Summarization | 0.745 | 0.755 | 0.760 | 0.804 |
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| Specialized Capabilities | Translation | 0.782 | 0.799 | 0.801 | 0.676 |
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| Specialized Capabilities | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | 0.610 |
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| Specialized Capabilities | Instruction Following | 0.733 | 0.749 | 0.751 | 0.739 |
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| Specialized Capabilities | Safety Evaluation | 0.718 | 0.701 | 0.725 | 0.739 |
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## Overall Weighted Score
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The overall weighted evaluation score is **0.712**.
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</content>
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config.json
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ewogICAgIm1vZGVsX3R5cGUiOiAiYmVydCIsCiAgICAiYXJjaGl0ZWN0dXJlcyI6IFsiQmVydE1vZGVsIl0KICB9
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pytorch_model.bin
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Li4uZHVtbXkgYmluYXJ5IGRhdGEuLi4=
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