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Adding Evaluation Results (#1)

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- Adding Evaluation Results (4b672433b21196620948df6ea2acdb7f55b557f2)


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

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  1. README.md +118 -2
README.md CHANGED
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  ---
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- license: apache-2.0
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  language:
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  - tr
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  - en
 
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  library_name: transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Fine tuned model of mistral-7b-instruct-v0-2. the dataset used for fine tuning is small and custom dataset for question answering in turkish language made by me. the main duty was to make model more adapted to turkish language.
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  prompt format :
@@ -32,4 +135,17 @@ snake_size = 3
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  class Snake:
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  def __init__(self):
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  ```
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- [i cutted output for brevity]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  language:
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  - tr
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  - en
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+ license: apache-2.0
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  library_name: transformers
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+ model-index:
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+ - name: alooowso
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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: 62.97
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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=notbdq/alooowso
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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: 84.87
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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=notbdq/alooowso
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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: 60.78
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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=notbdq/alooowso
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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: 68.18
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=notbdq/alooowso
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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: 77.43
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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=notbdq/alooowso
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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: 39.58
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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=notbdq/alooowso
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+ name: Open LLM Leaderboard
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  ---
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  Fine tuned model of mistral-7b-instruct-v0-2. the dataset used for fine tuning is small and custom dataset for question answering in turkish language made by me. the main duty was to make model more adapted to turkish language.
112
  prompt format :
 
135
  class Snake:
136
  def __init__(self):
137
  ```
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+ [i cutted output for brevity]
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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_notbdq__alooowso)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |65.63|
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+ |AI2 Reasoning Challenge (25-Shot)|62.97|
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+ |HellaSwag (10-Shot) |84.87|
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+ |MMLU (5-Shot) |60.78|
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+ |TruthfulQA (0-shot) |68.18|
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+ |Winogrande (5-shot) |77.43|
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+ |GSM8k (5-shot) |39.58|
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+