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  ---
 
 
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  license: apache-2.0
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  datasets:
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  - HuggingFaceTB/cosmopedia
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- language:
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- - en
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  inference:
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  parameters:
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  temperature: 0.6
@@ -11,15 +11,118 @@ inference:
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  top_k: 50
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  repetition_penalty: 1.2
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  widget:
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- - text: 'Photosynthesis is'
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- example_title: Textbook
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- group: Completion
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- - text: '<s> [INST] How to take care of plants? [/INST] '
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- example_title: Wikihow
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- group: Completion
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- - text: '<s> [INST] Generate a story about a flying cat [/INST] '
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- example_title: Story
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- group: Completion
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Summary
@@ -107,3 +210,17 @@ This is a small 1.8B model trained on synthetic data, so it might hallucinate, g
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  The training loss:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/rJobY7F6tqTAvIox1ZGKR.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  datasets:
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  - HuggingFaceTB/cosmopedia
 
 
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  inference:
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  parameters:
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  temperature: 0.6
 
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  top_k: 50
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  repetition_penalty: 1.2
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  widget:
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+ - text: Photosynthesis is
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+ example_title: Textbook
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+ group: Completion
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+ - text: '<s> [INST] How to take care of plants? [/INST] '
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+ example_title: Wikihow
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+ group: Completion
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+ - text: '<s> [INST] Generate a story about a flying cat [/INST] '
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+ example_title: Story
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+ group: Completion
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+ model-index:
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+ - name: cosmo-1b
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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: 38.57
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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=HuggingFaceTB/cosmo-1b
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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: 55.13
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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=HuggingFaceTB/cosmo-1b
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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: 26.69
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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=HuggingFaceTB/cosmo-1b
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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: 38.15
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceTB/cosmo-1b
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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: 55.49
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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=HuggingFaceTB/cosmo-1b
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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: 5.53
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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=HuggingFaceTB/cosmo-1b
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+ name: Open LLM Leaderboard
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  ---
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  # Model Summary
 
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  The training loss:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/rJobY7F6tqTAvIox1ZGKR.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_HuggingFaceTB__cosmo-1b)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |36.59|
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+ |AI2 Reasoning Challenge (25-Shot)|38.57|
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+ |HellaSwag (10-Shot) |55.13|
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+ |MMLU (5-Shot) |26.69|
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+ |TruthfulQA (0-shot) |38.15|
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+ |Winogrande (5-shot) |55.49|
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+ |GSM8k (5-shot) | 5.53|
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+