Commit
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34f44dd
1
Parent(s):
ad05ea4
replace underscore with hyphen.
Browse files- leaderboard/CohereForAI_aya_23_8B/results_2024-08-03T15:34:49+00:00.json +1 -1
- leaderboard/MehdiHosseiniMoghadam_AVA_Llama_3_V2/results_2024-08-03T15:34:49+00:00.json +1 -1
- leaderboard/PartAI_Dorna_Llama3_8B_Instruct/results_2024-08-03T15:34:49+00:00.json +1 -1
- leaderboard/Qwen_Qwen2_7B_Instruct/results_2024-08-03T15:34:49+00:00.json +1 -1
- leaderboard/gemma2_9b_it/results_2024-08-03T16:03:23+00:00.json +1 -1
- leaderboard/meta_llama_Meta_Llama_3.1_8B_Instruct/results_2024-08-03T15:34:49+00:00.json +1 -1
- leaderboard/meta_llama_Meta_Llama_3_8B_Instruct/results_2024-08-03T15:34:49+00:00.json +1 -1
- leaderboard/universitytehran_PersianMind_v1.0/results_2024-08-03T15:34:49+00:00.json +1 -1
leaderboard/CohereForAI_aya_23_8B/results_2024-08-03T15:34:49+00:00.json
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{"config": {"model_dtype": "", "model_name": "CohereForAI/
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{"config": {"model_dtype": "", "model_name": "CohereForAI/aya-23-8B", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.285}, "ParsiNLU Entailment": {"Exact Match": 0.395}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.318}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.675}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.35}, "Persian News Summary": {"Persian Rouge": 0.252}, "FarsTail Entailment": {"Exact Match": 0.467}, "Persian Math": {"Math Equivalence": 0.126}}}
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leaderboard/MehdiHosseiniMoghadam_AVA_Llama_3_V2/results_2024-08-03T15:34:49+00:00.json
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{"config": {"model_dtype": "", "model_name": "MehdiHosseiniMoghadam/
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{"config": {"model_dtype": "", "model_name": "MehdiHosseiniMoghadam/AVA-Llama-3-V2", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.225}, "ParsiNLU Entailment": {"Exact Match": 0.428}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.26}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.569}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.059}, "Persian News Summary": {"Persian Rouge": 0.275}, "FarsTail Entailment": {"Exact Match": 0.171}, "Persian Math": {"Math Equivalence": 0.2}}}
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leaderboard/PartAI_Dorna_Llama3_8B_Instruct/results_2024-08-03T15:34:49+00:00.json
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{"config": {"model_dtype": "", "model_name": "PartAI/
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{"config": {"model_dtype": "", "model_name": "PartAI/Dorna-Llama3-8B-Instruct", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.235}, "ParsiNLU Entailment": {"Exact Match": 0.411}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.265}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.61}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.246}, "Persian News Summary": {"Persian Rouge": 0.23}, "FarsTail Entailment": {"Exact Match": 0.408}, "Persian Math": {"Math Equivalence": 0.174}}}
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leaderboard/Qwen_Qwen2_7B_Instruct/results_2024-08-03T15:34:49+00:00.json
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{"config": {"model_dtype": "", "model_name": "Qwen/
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{"config": {"model_dtype": "", "model_name": "Qwen/Qwen2-7B-Instruct", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.395}, "ParsiNLU Entailment": {"Exact Match": 0.544}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.229}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.639}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.316}, "Persian News Summary": {"Persian Rouge": 0.27}, "FarsTail Entailment": {"Exact Match": 0.446}, "Persian Math": {"Math Equivalence": 0.36}}}
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leaderboard/gemma2_9b_it/results_2024-08-03T16:03:23+00:00.json
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{"config": {"model_dtype": "", "model_name": "google/
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{"config": {"model_dtype": "", "model_name": "google/gemma2-9b-it", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.305}, "ParsiNLU Entailment": {"Exact Match": 0.609}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.304}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.779}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.3}, "Persian News Summary": {"Persian Rouge": 0.36}, "FarsTail Entailment": {"Exact Match": 0.0}, "Persian Math": {"Math Equivalence": 0.48}}}
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leaderboard/meta_llama_Meta_Llama_3.1_8B_Instruct/results_2024-08-03T15:34:49+00:00.json
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{"config": {"model_dtype": "", "model_name": "meta-llama/
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{"config": {"model_dtype": "", "model_name": "meta-llama/Meta-Llama-3.1-8B-Instruct", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.035}, "ParsiNLU Entailment": {"Exact Match": 0.462}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.301}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.734}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.29}, "Persian News Summary": {"Persian Rouge": 0.303}, "FarsTail Entailment": {"Exact Match": 0.304}, "Persian Math": {"Math Equivalence": 0.326}}}
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leaderboard/meta_llama_Meta_Llama_3_8B_Instruct/results_2024-08-03T15:34:49+00:00.json
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{"config": {"model_dtype": "", "model_name": "meta-llama/
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{"config": {"model_dtype": "", "model_name": "meta-llama/Meta-Llama-3-8B-Instruct", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.215}, "ParsiNLU Entailment": {"Exact Match": 0.481}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.282}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.704}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.251}, "Persian News Summary": {"Persian Rouge": 0.09}, "FarsTail Entailment": {"Exact Match": 0.312}, "Persian Math": {"Math Equivalence": 0.257}}}
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leaderboard/universitytehran_PersianMind_v1.0/results_2024-08-03T15:34:49+00:00.json
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{"config": {"model_dtype": "", "model_name": "universitytehran/
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{"config": {"model_dtype": "", "model_name": "universitytehran/PersianMind-v1.0", "model_sha": ""}, "results": {"Persian MMLU": {"Exact Match": 0.0}, "ParsiNLU Entailment": {"Exact Match": 0.011}, "ParsiNLU Machine Translation En Fa": {"Persian Sentence Bleu": 0.296}, "ParsiNLU Reading Comprehension": {"Common Tokens": 0.5}, "ParsiNLU Machine Translation Fa En": {"English Sentence Bleu": 0.26}, "Persian News Summary": {"Persian Rouge": 0.359}, "FarsTail Entailment": {"Exact Match": 0.01}, "Persian Math": {"Math Equivalence": 0.006}}}
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