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140M-TinyLLama-Mini-Cinder-With-GGUF

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Adding Evaluation Results (#1)

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- Adding Evaluation Results (26107a81af00007f8c19f34307f38a842dafe55e)


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

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  1. README.md +122 -5
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  ---
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  license: mit
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-
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  widget:
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- - text: |
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- <|user|>
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- Can you tell me a space adventure story?</s>
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- <|assistant|>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Model trained on Tiny Stories. Followed up with conversations datasets, followed up with trimmed Cinder Dataset.
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  Mini Cinder is ok at conversation and story telling for kids stories.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/1fBgUSy8Aob7glhecfY3u.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
 
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  widget:
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+ - text: '<|user|>
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+
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+ Can you tell me a space adventure story?</s>
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+
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+ <|assistant|>'
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+ model-index:
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+ - name: 160M-TinyLLama-Mini-Cinder
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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: 24.66
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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=Josephgflowers/160M-TinyLLama-Mini-Cinder
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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: 28.16
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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=Josephgflowers/160M-TinyLLama-Mini-Cinder
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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: 25.09
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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=Josephgflowers/160M-TinyLLama-Mini-Cinder
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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: 44.08
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
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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: 52.57
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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=Josephgflowers/160M-TinyLLama-Mini-Cinder
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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=Josephgflowers/160M-TinyLLama-Mini-Cinder
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+ name: Open LLM Leaderboard
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  ---
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  Model trained on Tiny Stories. Followed up with conversations datasets, followed up with trimmed Cinder Dataset.
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  Mini Cinder is ok at conversation and story telling for kids stories.
 
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/1fBgUSy8Aob7glhecfY3u.png)
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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_Josephgflowers__160M-TinyLLama-Mini-Cinder)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |29.09|
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+ |AI2 Reasoning Challenge (25-Shot)|24.66|
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+ |HellaSwag (10-Shot) |28.16|
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+ |MMLU (5-Shot) |25.09|
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+ |TruthfulQA (0-shot) |44.08|
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+ |Winogrande (5-shot) |52.57|
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+ |GSM8k (5-shot) | 0.00|
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+