| --- |
| license: mit |
| library_name: transformers |
| --- |
| # MyAwesomeModel |
| <!-- markdownlint-disable first-line-h1 --> |
| <!-- markdownlint-disable html --> |
| <!-- markdownlint-disable no-duplicate-header --> |
|
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| ## Model Description |
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| The MyAwesomeModel v2 (Step 1000) is the best performing model checkpoint from our training process, with an overall evaluation score of 0.710. |
|
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| ## Evaluation Results |
|
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| ### Comprehensive Benchmark Results |
|
|
| | | Benchmark | Model1 | Model2 | Model1-v2 | MyAwesomeModel | |
| |---|---|---|---|---|---| |
| | **Core Reasoning Tasks** | Math Reasoning | 0.510 | 0.535 | 0.521 | 0.550 | |
| | | Logical Reasoning | 0.789 | 0.801 | 0.810 | 0.819 | |
| | | Common Sense | 0.716 | 0.702 | 0.725 | 0.736 | |
| | **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | 0.700 | |
| | | Question Answering | 0.582 | 0.599 | 0.601 | 0.607 | |
| | | Text Classification | 0.803 | 0.811 | 0.820 | 0.828 | |
| | | Sentiment Analysis | 0.777 | 0.781 | 0.790 | 0.792 | |
| | **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.640 | 0.650 | |
| | | Creative Writing | 0.588 | 0.579 | 0.601 | 0.610 | |
| | | Dialogue Generation | 0.621 | 0.635 | 0.639 | 0.644 | |
| | | Summarization | 0.745 | 0.755 | 0.760 | 0.767 | |
| | **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | 0.804 | |
| | | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | 0.676 | |
| | | Instruction Following | 0.733 | 0.749 | 0.751 | 0.758 | |
| | | Safety Evaluation | 0.718 | 0.701 | 0.725 | 0.739 | |
|
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| ## Performance Summary |
|
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| The model achieves its best performance in: |
| - Text Classification: 0.828 |
| - Logical Reasoning: 0.819 |
| - Translation: 0.804 |
| - Sentiment Analysis: 0.792 |
|
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| ## Usage |
|
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| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model = AutoModelForCausalLM.from_pretrained("mazextest2026/MyAwesomeModel-TestRepo") |
| tokenizer = AutoTokenizer.from_pretrained("mazextest2026/MyAwesomeModel-TestRepo") |
| ``` |
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|
