Adding Evaluation Results
#3
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -12,59 +12,62 @@ datasets:
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- databricks/databricks-dolly-15k
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- THUDM/webglm-qa
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widget:
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inference:
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parameters:
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max_new_tokens: 250
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@@ -174,6 +177,98 @@ model-index:
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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name: Open LLM Leaderboard
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---
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# A Llama Chat Model of 160M Parameters
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@@ -255,3 +350,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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|TruthfulQA (0-shot) |44.16|
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|Winogrande (5-shot) |51.30|
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|GSM8k (5-shot) | 0.00|
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- databricks/databricks-dolly-15k
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- THUDM/webglm-qa
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widget:
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- messages:
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- role: system
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content: You are a helpful assistant, who answers with empathy.
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- role: user
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content: Got a question for you!
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- role: assistant
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content: Sure! What's it?
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- role: user
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content: Why do you love cats so much!? ๐
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- messages:
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- role: system
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content: You are a helpful assistant who answers user's questions with empathy.
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- role: user
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content: Who is Mona Lisa?
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- messages:
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- role: system
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content: You are a helpful assistant who provides concise responses.
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- role: user
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content: Heya!
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- role: assistant
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content: Hi! How may I help you today?
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- role: user
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content: I need to build a simple website. Where should I start learning about
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web development?
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- messages:
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- role: user
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content: Invited some friends to come home today. Give me some ideas for games
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to play with them!
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- messages:
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- role: system
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content: You are a helpful assistant who answers user's questions with details
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and curiosity.
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- role: user
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content: What are some potential applications for quantum computing?
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- messages:
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- role: system
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content: You are a helpful assistant who gives creative responses.
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- role: user
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content: Write the specs of a game about mages in a fantasy world.
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- messages:
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- role: system
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content: You are a helpful assistant who answers user's questions with details.
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- role: user
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content: Tell me about the pros and cons of social media.
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- messages:
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- role: system
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content: You are a helpful assistant who answers user's questions with confidence.
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- role: user
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content: What is a dog?
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- role: assistant
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content: A dog is a four-legged, domesticated animal that is a member of the class
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Mammalia, which includes all mammals. Dogs are known for their loyalty, playfulness,
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and ability to be trained for various tasks. They are also used for hunting,
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herding, and as service animals.
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- role: user
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content: What is the color of an apple?
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inference:
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parameters:
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max_new_tokens: 250
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 15.75
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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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: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 3.17
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 0.0
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 1.01
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 3.17
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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: 1.51
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Felladrin/Llama-160M-Chat-v1
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name: Open LLM Leaderboard
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---
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# A Llama Chat Model of 160M Parameters
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|TruthfulQA (0-shot) |44.16|
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|Winogrande (5-shot) |51.30|
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|GSM8k (5-shot) | 0.00|
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Felladrin__Llama-160M-Chat-v1)
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| Metric |Value|
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|-------------------|----:|
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|Avg. | 4.10|
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|IFEval (0-Shot) |15.75|
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|BBH (3-Shot) | 3.17|
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|MATH Lvl 5 (4-Shot)| 0.00|
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|GPQA (0-shot) | 1.01|
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|MuSR (0-shot) | 3.17|
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|MMLU-PRO (5-shot) | 1.51|
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