Updates to accommodate OpenLLM leaderboard v2 tasks and change Meta Llama 3.1 to Llama 3.1 #639
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HamidShojanazeri
approved these changes
Aug 29, 2024
rohit-ptl
reviewed
Sep 3, 2024
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| As Meta Llama models gain popularity, evaluating these models has become increasingly important. We have released all the evaluation details for Meta-Llama 3.1 models as datasets in the [3.1 evals Hugging Face collection](https://huggingface.co/collections/meta-llama/llama-31-evals-66a2c5a14c2093e58298ac7f). This recipe demonstrates how to closely reproduce the Llama 3.1 reported benchmark numbers using the [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/main) library and our prompts from the 3.1 evals datasets on selected tasks. | ||
| As Meta Llama models gain popularity, evaluating these models has become increasingly important. We have released all the evaluation details for Meta-Llama 3.1 models as datasets in the [3.1 evals Hugging Face collection](https://huggingface.co/collections/meta-llama/llama-31-evals-66a2c5a14c2093e58298ac7f). This recipe demonstrates how to calculate the Llama 3.1 reported benchmark numbers using the [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/main) library and our prompts from the 3.1 evals datasets on selected tasks. |
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Let's clarify here that we are providing this since our internal repo isn't public but that this will not reproduce exactly the evals. It is just meant to be an aid for someone wanting to use the dataset we released.
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sure, this line has been added.
rohit-ptl
reviewed
Sep 3, 2024
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| ## Disclaimer | ||
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| 1. **This recipe is not the official implementation** of Meta Llama evaluation. It is based on public third-party libraries, as this implementation is not mirroring Meta Llama evaluation, this may lead to minor differences in the reproduced numbers. | ||
| 1. **This recipe is not the official implementation** of Meta Llama evaluation. It is based on public third-party libraries, as this implementation is not mirroring Meta Llama evaluation, this may lead to minor differences in the produced numbers. |
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Se comment above. I think this point addresses my comment partially.
rohit-ptl
reviewed
Sep 3, 2024
wukaixingxp
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Previously, the OpenLLM leaderboard V1 is hard to reproduce as it did not included a easy commend to run, so we created a customized eval.py to load a folder of selected task templates to run OpenLLM leaderboard V1. Now, OpenLLM leaderboard V2 has not only updated the selected tasks, but created a easy-to-use commend for us to run. Therefore, this PR deletes the previous work for OpenLLM leaderboard V1 and updates the README to accommodate OpenLLM leaderboardv2 tasks
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