Push best checkpoint selected by highest eval_accuracy with detailed README
Browse files- README.md +36 -0
- config.json +4 -0
- pytorch_model.bin +3 -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 best checkpoint selected from the workspace scan by highest `eval_accuracy`.
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## Selected Checkpoint
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- Checkpoint: `step_1000`
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- Selection metric: highest `eval_accuracy`
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- Selected benchmark score: `0.828`
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## Detailed Evaluation Results
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All scores below are for the selected `step_1000` checkpoint and are shown to three decimal places.
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| Benchmark | Score |
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|---|---:|
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| math_reasoning | 0.550 |
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| code_generation | 0.650 |
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| text_classification | 0.828 |
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| sentiment_analysis | 0.792 |
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| question_answering | 0.607 |
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| logical_reasoning | 0.819 |
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| common_sense | 0.736 |
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| reading_comprehension | 0.700 |
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| dialogue_generation | 0.644 |
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| summarization | 0.767 |
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| translation | 0.804 |
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| knowledge_retrieval | 0.676 |
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| creative_writing | 0.610 |
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| instruction_following | 0.758 |
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| safety_evaluation | 0.739 |
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</content>
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config.json
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{
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"model_type": "bert",
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"architectures": ["BertModel"]
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:965362299a238de576a92dfdd3e32aea7a2bacc94b2c41541c8c9258b923f587
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size 23
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