malhajar commited on
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Update src/display/about.py

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  1. src/display/about.py +3 -3
src/display/about.py CHANGED
@@ -45,12 +45,12 @@ I use LM-Evaluation-Harness-Turkish, a version of the LM Evaluation Harness adap
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  ## How to Reproduce Results:
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- # 1) Set Up the repo: Clone the "lm-evaluation-harness_turkish" from https://github.com/malhajar17/lm-evaluation-harness_turkish and follow the installation instructions.
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- # 2) Run Evaluations: To get the results as on the leaderboard (Some tests might show small variations), use the following command, adjusting for your model. For example, with the Trendyol model:
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  ```python
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  lm_eval --model vllm --model_args pretrained=Trendyol/Trendyol-LLM-7b-chat-v1.0 --tasks truthfulqa_mc2_tr,truthfulqa_mc1_tr,mmlu_tr,winogrande_tr,gsm8k_tr,arc_challenge_tr,hellaswag_tr --output /workspace/Trendyol-LLM-7b-chat-v1.0
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  ```
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- # 3) Report Results: I take the average of truthfulqa_mc1_tr and truthfulqa_mc2_tr scores and report it as truthfulqa. The results file generated is then uploaded to the OpenLLM Turkish Leaderboard.
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  ## Notes:
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  ## How to Reproduce Results:
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+ 1) Set Up the repo: Clone the "lm-evaluation-harness_turkish" from https://github.com/malhajar17/lm-evaluation-harness_turkish and follow the installation instructions.
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+ 2) Run Evaluations: To get the results as on the leaderboard (Some tests might show small variations), use the following command, adjusting for your model. For example, with the Trendyol model:
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  ```python
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  lm_eval --model vllm --model_args pretrained=Trendyol/Trendyol-LLM-7b-chat-v1.0 --tasks truthfulqa_mc2_tr,truthfulqa_mc1_tr,mmlu_tr,winogrande_tr,gsm8k_tr,arc_challenge_tr,hellaswag_tr --output /workspace/Trendyol-LLM-7b-chat-v1.0
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  ```
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+ 3) Report Results: I take the average of truthfulqa_mc1_tr and truthfulqa_mc2_tr scores and report it as truthfulqa. The results file generated is then uploaded to the OpenLLM Turkish Leaderboard.
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  ## Notes:
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