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--- |
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license: cc-by-nc-4.0 |
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library_name: transformers |
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model-index: |
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- name: SOLAR-10.7b-Instruct-dpo |
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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: 71.76 |
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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=macadeliccc/SOLAR-10.7b-Instruct-dpo |
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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: 88.08 |
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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=macadeliccc/SOLAR-10.7b-Instruct-dpo |
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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: 66.06 |
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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=macadeliccc/SOLAR-10.7b-Instruct-dpo |
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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: 71.98 |
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source: |
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url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-dpo |
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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: 82.32 |
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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=macadeliccc/SOLAR-10.7b-Instruct-dpo |
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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: 61.03 |
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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=macadeliccc/SOLAR-10.7b-Instruct-dpo |
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name: Open LLM Leaderboard |
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--- |
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# SOLAR-10.7b-Instruct-dpo |
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This model is a finetune of upstage/SOLAR-10.7B-Instruct-v1.0 using Intel/orca_dpo_pairs |
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## Chat Template |
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This model follows the chatML chat template. |
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## Evaluations |
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### EQ Bench comparison with base model |
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These scores are the average of 3 iterations. |
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----Benchmark Complete---- |
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+ 2024-01-25 04:41:01 |
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+ Time taken: 236.1 mins |
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+ Prompt Format: ChatML |
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+ Model: macadeliccc/SOLAR-10.7b-Instruct-dpo |
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+ Score (v2): 72.79 |
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+ Parseable: 165.67 |
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--------------- |
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Batch completed |
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Time taken: 236.1 mins |
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--------------- |
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as compared to the original model: |
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----Benchmark Complete---- |
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+ 2024-01-25 08:45:02 |
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+ Time taken: 244.0 mins |
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+ Prompt Format: ChatML |
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+ Model: [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co./upstage/SOLAR-10.7B-Instruct-v1.0) |
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+ Score (v2): 71.03 |
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+ Parseable: 165.67 |
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--------------- |
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Batch completed |
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Time taken: 480.1 mins |
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--------------- |
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| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average| |
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|---------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:| |
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|[SOLAR-10.7b-Instruct-dpo](https://huggingface.co./macadeliccc/SOLAR-10.7b-Instruct-dpo)| 47.57| 74.3| 72.73| 45.76| 60.09| |
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### AGIEval |
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| Task |Version| Metric |Value| |Stderr| |
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|------------------------------|------:|--------|----:|---|-----:| |
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|agieval_aqua_rat | 0|acc |27.56|± | 2.81| |
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| | |acc_norm|26.77|± | 2.78| |
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|agieval_logiqa_en | 0|acc |41.63|± | 1.93| |
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| | |acc_norm|41.32|± | 1.93| |
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|agieval_lsat_ar | 0|acc |25.22|± | 2.87| |
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| | |acc_norm|24.35|± | 2.84| |
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|agieval_lsat_lr | 0|acc |54.12|± | 2.21| |
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| | |acc_norm|54.31|± | 2.21| |
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|agieval_lsat_rc | 0|acc |68.77|± | 2.83| |
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| | |acc_norm|69.14|± | 2.82| |
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|agieval_sat_en | 0|acc |79.13|± | 2.84| |
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| | |acc_norm|79.13|± | 2.84| |
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|agieval_sat_en_without_passage| 0|acc |44.66|± | 3.47| |
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| | |acc_norm|44.66|± | 3.47| |
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|agieval_sat_math | 0|acc |40.45|± | 3.32| |
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| | |acc_norm|40.91|± | 3.32| |
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Average: 47.57% |
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### GPT4All |
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| Task |Version| Metric |Value| |Stderr| |
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|-------------|------:|--------|----:|---|-----:| |
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|arc_challenge| 0|acc |60.49|± | 1.43| |
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| | |acc_norm|63.74|± | 1.40| |
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|arc_easy | 0|acc |82.07|± | 0.79| |
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| | |acc_norm|79.92|± | 0.82| |
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|boolq | 1|acc |88.56|± | 0.56| |
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|hellaswag | 0|acc |68.47|± | 0.46| |
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| | |acc_norm|86.06|± | 0.35| |
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|openbookqa | 0|acc |36.20|± | 2.15| |
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| | |acc_norm|46.60|± | 2.23| |
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|piqa | 0|acc |79.38|± | 0.94| |
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| | |acc_norm|79.71|± | 0.94| |
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|winogrande | 0|acc |75.53|± | 1.21| |
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Average: 74.3% |
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### TruthfulQA |
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| Task |Version|Metric|Value| |Stderr| |
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|-------------|------:|------|----:|---|-----:| |
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|truthfulqa_mc| 1|mc1 |57.77|± | 1.73| |
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| | |mc2 |72.73|± | 1.49| |
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Average: 72.73% |
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### Bigbench |
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| Task |Version| Metric |Value| |Stderr| |
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|------------------------------------------------|------:|---------------------|----:|---|-----:| |
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|bigbench_causal_judgement | 0|multiple_choice_grade|55.26|± | 3.62| |
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|bigbench_date_understanding | 0|multiple_choice_grade|62.87|± | 2.52| |
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|bigbench_disambiguation_qa | 0|multiple_choice_grade|46.51|± | 3.11| |
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|bigbench_geometric_shapes | 0|multiple_choice_grade|25.63|± | 2.31| |
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| | |exact_str_match | 0.00|± | 0.00| |
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|bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|28.00|± | 2.01| |
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|bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|20.57|± | 1.53| |
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|bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|46.67|± | 2.89| |
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|bigbench_movie_recommendation | 0|multiple_choice_grade|41.80|± | 2.21| |
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|bigbench_navigate | 0|multiple_choice_grade|64.00|± | 1.52| |
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|bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|60.00|± | 1.10| |
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|bigbench_ruin_names | 0|multiple_choice_grade|39.96|± | 2.32| |
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|bigbench_salient_translation_error_detection | 0|multiple_choice_grade|47.90|± | 1.58| |
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|bigbench_snarks | 0|multiple_choice_grade|64.09|± | 3.58| |
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|bigbench_sports_understanding | 0|multiple_choice_grade|71.10|± | 1.44| |
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|bigbench_temporal_sequences | 0|multiple_choice_grade|59.90|± | 1.55| |
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|bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|24.96|± | 1.22| |
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|bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|17.89|± | 0.92| |
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|bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|46.67|± | 2.89| |
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Average: 45.76% |
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Average score: 60.09% |
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Elapsed time: 02:10:16 |
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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_macadeliccc__SOLAR-10.7b-Instruct-dpo) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |73.54| |
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|AI2 Reasoning Challenge (25-Shot)|71.76| |
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|HellaSwag (10-Shot) |88.08| |
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|MMLU (5-Shot) |66.06| |
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|TruthfulQA (0-shot) |71.98| |
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|Winogrande (5-shot) |82.32| |
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|GSM8k (5-shot) |61.03| |
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