Adding Evaluation Results
#3
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,6 +1,8 @@
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---
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-
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license: other
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datasets:
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- Open-Orca/SlimOrca
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- m-a-p/Code-Feedback
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- LDJnr/Capybara
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- jondurbin/airoboros-3.2
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- microsoft/orca-math-word-problems-200k
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language:
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- en
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inference:
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parameters:
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do_sample: true
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top_k: 40
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max_new_tokens: 250
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repetition_penalty: 1.1
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---
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# Hercules-Mini-1.8B
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@@ -105,4 +208,17 @@ Coming soon
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#### Hardware
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We used 8 Kaggle TPUs, and we trained at a global batch size of 128 and sequence length of 2048.
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---
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language:
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- en
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license: other
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library_name: transformers
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datasets:
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- Open-Orca/SlimOrca
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- m-a-p/Code-Feedback
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- LDJnr/Capybara
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- jondurbin/airoboros-3.2
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- microsoft/orca-math-word-problems-200k
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inference:
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parameters:
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do_sample: true
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top_k: 40
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max_new_tokens: 250
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repetition_penalty: 1.1
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model-index:
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- name: Orca-2.0-Tau-1.8B
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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: 37.12
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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=M4-ai/Orca-2.0-Tau-1.8B
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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: 61.13
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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=M4-ai/Orca-2.0-Tau-1.8B
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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: 45.27
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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=M4-ai/Orca-2.0-Tau-1.8B
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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: 39.1
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/Orca-2.0-Tau-1.8B
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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: 59.59
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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=M4-ai/Orca-2.0-Tau-1.8B
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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: 28.96
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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=M4-ai/Orca-2.0-Tau-1.8B
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name: Open LLM Leaderboard
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---
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# Hercules-Mini-1.8B
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#### Hardware
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We used 8 Kaggle TPUs, and we trained at a global batch size of 128 and sequence length of 2048.
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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_M4-ai__Orca-2.0-Tau-1.8B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |45.20|
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|AI2 Reasoning Challenge (25-Shot)|37.12|
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|HellaSwag (10-Shot) |61.13|
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|MMLU (5-Shot) |45.27|
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|TruthfulQA (0-shot) |39.10|
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|Winogrande (5-shot) |59.59|
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|GSM8k (5-shot) |28.96|
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