Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -8,9 +8,112 @@ tags:
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- unsloth
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- mistral
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- trl
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base_model: alnrg2arg/blockchainlabs_7B_merged_test2_4
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datasets:
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- Open-Orca/SlimOrca
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---
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Benchmark Scores
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@@ -45,4 +148,17 @@ Benchmark Scores
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|--------------|------:|------|-----:|------|-----:|---|-----:|
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|truthfulqa_mc2| 2|none | 0|acc |0.4795|± |0.0148|
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Average 65.658
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- unsloth
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- mistral
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- trl
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datasets:
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- Open-Orca/SlimOrca
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base_model: alnrg2arg/blockchainlabs_7B_merged_test2_4
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model-index:
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- name: test3_sft_4bit
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 61.52
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test3_sft_4bit
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 83.89
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test3_sft_4bit
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.79
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test3_sft_4bit
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 47.83
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test3_sft_4bit
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 81.93
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test3_sft_4bit
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 0.0
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alnrg2arg/test3_sft_4bit
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name: Open LLM Leaderboard
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---
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Benchmark Scores
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|--------------|------:|------|-----:|------|-----:|---|-----:|
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|truthfulqa_mc2| 2|none | 0|acc |0.4795|± |0.0148|
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Average 65.658
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_alnrg2arg__test3_sft_4bit)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |56.66|
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|AI2 Reasoning Challenge (25-Shot)|61.52|
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|HellaSwag (10-Shot) |83.89|
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|MMLU (5-Shot) |64.79|
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|TruthfulQA (0-shot) |47.83|
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|Winogrande (5-shot) |81.93|
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|GSM8k (5-shot) | 0.00|
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