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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. |
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prompt format : |
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```python |
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[INST]<<SYS>> |
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{System} |
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<</SYS>> |
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{User} [/INST] {Assistant} |
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``` |
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example in turkish language ; |
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```python |
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[INST]<<SYS>> |
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Aşağıda bir görevi tanımlayan bir talimat bulunmaktadır. İsteği uygun şekilde tamamlayan bir yanıt yazın. |
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<</SYS>> |
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python dilinde yılan oyunu için kod verin [/INST] Aşağıda Python dili ile basit bir snake game kodu bulunmaktadır; |
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import os |
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import time |
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# Konfigürasyonlar |
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WIDTH = 20 |
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HEIGHT = 10 |
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snake_speed = 0.1 |
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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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# [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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| 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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