Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,11 +1,114 @@
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---
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inference: false
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license: llama2
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language:
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- en
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tags:
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- information retrieval
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- reranker
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---
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# RankVicuna (FP16) Model Card
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@@ -38,4 +141,17 @@ RankVicuna is finetuned from `lmsys/vicuna-7b-v1.5` with supervised instruction
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## Evaluation
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RankVicuna is currently evaluated on DL19/DL20. See more details in our [paper](https://arxiv.org/pdf/2309.15088.pdf).
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---
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language:
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- en
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license: llama2
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tags:
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- information retrieval
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- reranker
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inference: false
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model-index:
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- name: rank_vicuna_7b_v1_fp16
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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: 44.62
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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=castorini/rank_vicuna_7b_v1_fp16
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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: 65.67
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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=castorini/rank_vicuna_7b_v1_fp16
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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: 44.14
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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=castorini/rank_vicuna_7b_v1_fp16
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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: 45.13
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=castorini/rank_vicuna_7b_v1_fp16
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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: 66.61
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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=castorini/rank_vicuna_7b_v1_fp16
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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=castorini/rank_vicuna_7b_v1_fp16
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name: Open LLM Leaderboard
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---
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# RankVicuna (FP16) Model Card
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## Evaluation
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RankVicuna is currently evaluated on DL19/DL20. See more details in our [paper](https://arxiv.org/pdf/2309.15088.pdf).
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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_castorini__rank_vicuna_7b_v1_fp16)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |44.36|
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|AI2 Reasoning Challenge (25-Shot)|44.62|
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|HellaSwag (10-Shot) |65.67|
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|MMLU (5-Shot) |44.14|
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|TruthfulQA (0-shot) |45.13|
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|Winogrande (5-shot) |66.61|
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|GSM8k (5-shot) | 0.00|
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