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--- |
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base_model: appvoid/arco |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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- sft |
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--- |
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experimental model to expose arco to some reasoning |
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after some research i notice i was finetuning models with super high lr, further models should be better since will maintain most of the power of arco |
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| Task | Score | Metric | |
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|--------------|-------|-----------| |
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| ARC Challenge| 0.3473| acc_norm | |
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| HellaSwag | 0.5986| acc_norm | |
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| MMLU | 0.2489| acc | |
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| PIQA | 0.7318| acc_norm | |
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| Winogrande | 0.6259| acc | |
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This table presents the extracted scores in a clear, tabular format. The "Task" column shows the name of each benchmark, the "Score" column displays the corresponding value, and the "Metric" column indicates whether the score is acc_norm or acc. |
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format is this: |
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``` |
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Instruction: <your instruction> |
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Reasoning: // starting from here, the model will start to generate the resoning and output |
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Output: |
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``` |
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# Uploaded model |
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- **Developed by:** appvoid |
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- **License:** apache-2.0 |
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- **Finetuned from model :** appvoid/arco |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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