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MyAwesomeModel

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Restore README.md to match workspace original verbatim (15 {RESULT} placeholders preserved)

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README.md CHANGED
@@ -3,11 +3,6 @@ license: mit
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  library_name: transformers
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  ---
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  # MyAwesomeModel
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- <!-- Auto-selected best checkpoint -->
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- > **Best checkpoint:** `step_1000` — selected via the comprehensive weighted evaluation
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- > in `evaluation/eval.py`. Overall weighted score: **0.712** (highest of 10 candidate
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- > checkpoints `step_100` ... `step_1000`).
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-
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@@ -43,21 +38,21 @@ Beyond its improved reasoning capabilities, this version also offers a reduced h
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  | | 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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- | | Logical Reasoning | 0.789 | 0.801 | 0.810 | 0.819 |
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- | | Common Sense | 0.716 | 0.702 | 0.725 | 0.736 |
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- | **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | 0.700 |
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- | | Question Answering | 0.582 | 0.599 | 0.601 | 0.607 |
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- | | Text Classification | 0.803 | 0.811 | 0.820 | 0.828 |
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- | | 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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- | | Creative Writing | 0.588 | 0.579 | 0.601 | 0.610 |
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- | | Dialogue Generation | 0.621 | 0.635 | 0.639 | 0.644 |
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- | | Summarization | 0.745 | 0.755 | 0.760 | 0.767 |
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- | **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | 0.804 |
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- | | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | 0.676 |
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- | | Instruction Following | 0.733 | 0.749 | 0.751 | 0.758 |
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- | | Safety Evaluation | 0.718 | 0.701 | 0.725 | 0.739 |
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  </div>
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  library_name: transformers
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  ---
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  # MyAwesomeModel
 
 
 
 
 
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  <!-- markdownlint-disable first-line-h1 -->
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  <!-- markdownlint-disable html -->
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  <!-- markdownlint-disable no-duplicate-header -->
 
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  | | 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 | {RESULT} |
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+ | | Logical Reasoning | 0.789 | 0.801 | 0.810 | {RESULT} |
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+ | | Common Sense | 0.716 | 0.702 | 0.725 | {RESULT} |
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+ | **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | {RESULT} |
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+ | | Question Answering | 0.582 | 0.599 | 0.601 | {RESULT} |
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+ | | Text Classification | 0.803 | 0.811 | 0.820 | {RESULT} |
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+ | | Sentiment Analysis | 0.777 | 0.781 | 0.790 | {RESULT} |
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+ | **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.640 | {RESULT} |
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+ | | Creative Writing | 0.588 | 0.579 | 0.601 | {RESULT} |
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+ | | Dialogue Generation | 0.621 | 0.635 | 0.639 | {RESULT} |
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+ | | Summarization | 0.745 | 0.755 | 0.760 | {RESULT} |
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+ | **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | {RESULT} |
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+ | | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | {RESULT} |
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+ | | Instruction Following | 0.733 | 0.749 | 0.751 | {RESULT} |
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+ | | Safety Evaluation | 0.718 | 0.701 | 0.725 | {RESULT} |
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  </div>
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