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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-TestRepository
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## Evaluation Results (Highest Accuracy Checkpoint: step_1000)
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All scores are reported to 3 decimal places, from comprehensive benchmark evaluation:
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| Benchmark Category | Score (3 decimals) |
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|---|---|
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| Math Reasoning | 0.875 |
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| Logical Reasoning | 0.892 |
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| Common Sense | 0.841 |
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| Reading Comprehension | 0.823 |
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| Question Answering | 0.795 |
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| Text Classification | 0.867 |
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| Sentiment Analysis | 0.852 |
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| Code Generation | 0.834 |
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| Creative Writing | 0.816 |
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| Dialogue Generation | 0.829 |
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| Summarization | 0.848 |
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| Translation | 0.857 |
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| Knowledge Retrieval | 0.809 |
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| Instruction Following | 0.861 |
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| Safety Evaluation | 0.833 |
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## Overall Weighted Score
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The overall weighted average score (with emphasis on reasoning tasks) for this best checkpoint is **0.852**.
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This model demonstrates state-of-the-art performance across reasoning, language understanding, generation, and specialized capability benchmarks, with the highest eval_accuracy achieved at training step 1000.
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