Text Generation
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PyTorch
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llama
Eval Results
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text-generation-inference
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Adding Evaluation Results (#2)

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- Adding Evaluation Results (bd7466265294ec84a40572e656d2a402c65f17ec)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +118 -1
README.md CHANGED
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  ---
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  language:
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  - en
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- library_name: transformers
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  license: llama2
 
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  datasets:
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  - pankajmathur/orca_mini_v1_dataset
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  - pankajmathur/lima_unchained_v1
@@ -11,6 +11,109 @@ datasets:
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  - pankajmathur/dolly-v2_orca
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  - garage-bAInd/Open-Platypus
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  - ehartford/dolphin
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # model_101
@@ -223,3 +326,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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  | Winogrande (5-shot) | 82.08 |
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  | GSM8K (5-shot) | 44.81 |
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  | DROP (3-shot) | 55.1 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - en
 
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  license: llama2
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+ library_name: transformers
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  datasets:
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  - pankajmathur/orca_mini_v1_dataset
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  - pankajmathur/lima_unchained_v1
 
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  - pankajmathur/dolly-v2_orca
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  - garage-bAInd/Open-Platypus
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  - ehartford/dolphin
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+ model-index:
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+ - name: model_101
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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: 68.69
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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=psmathur/model_101
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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: 86.42
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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=psmathur/model_101
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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: 69.92
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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=psmathur/model_101
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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: 58.85
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_101
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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: 82.08
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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=psmathur/model_101
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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: 44.81
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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=psmathur/model_101
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+ name: Open LLM Leaderboard
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  ---
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  # model_101
 
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  | Winogrande (5-shot) | 82.08 |
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  | GSM8K (5-shot) | 44.81 |
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  | DROP (3-shot) | 55.1 |
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+
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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_psmathur__model_101)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |68.46|
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+ |AI2 Reasoning Challenge (25-Shot)|68.69|
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+ |HellaSwag (10-Shot) |86.42|
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+ |MMLU (5-Shot) |69.92|
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+ |TruthfulQA (0-shot) |58.85|
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+ |Winogrande (5-shot) |82.08|
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+ |GSM8k (5-shot) |44.81|
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+