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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (f28cf641514cfeebc3145d8209ee940e9f5a1802)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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license: apache-2.0
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language:
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tags:
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base_model: BEE-spoke-data/smol_llama-101M-GQA
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datasets:
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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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penalty_alpha: 0.5
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top_k: 4
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repetition_penalty: 1.105
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---
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# A Llama Chat Model of 101M Parameters
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top_k: 4
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repetition_penalty: 1.105
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```
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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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tags:
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- text-generation
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base_model: BEE-spoke-data/smol_llama-101M-GQA
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datasets:
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- Open-Orca/SlimOrca-Dedup
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- VMware/open-instruct
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- LDJnr/Capybara
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- cognitivecomputations/ultrachat-uncensored
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- starfishmedical/webGPT_x_dolly
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- THUDM/webglm-qa
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widget:
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- text: '<|im_start|>system
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You are a helpful assistant who gives creative responses.<|im_end|>
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<|im_start|>user
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Write the background story of a game about wizards and llamas in a sci-fi world.<|im_end|>
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<|im_start|>assistant'
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- text: '<|im_start|>system
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A friendly chat between a user and an assistant.<|im_end|>
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<|im_start|>user
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Got a question for you!<|im_end|>
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<|im_start|>assistant
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Sure! What''s it?<|im_end|>
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<|im_start|>user
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I need to build a simple website. Where should I start learning about web development?<|im_end|>
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<|im_start|>assistant'
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- text: '<|im_start|>system
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You are a helpful assistant who provides concise answers to the user''s questions.<|im_end|>
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<|im_start|>user
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How to become more healthy?<|im_end|>
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<|im_start|>assistant'
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- text: '<|im_start|>system
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You are a helpful assistant, who always answers with empathy.<|im_end|>
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<|im_start|>user
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List the pros and cons of social media.<|im_end|>
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<|im_start|>assistant'
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- text: '<|im_start|>system
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You are a helpful assistant, who always answers with empathy.<|im_end|>
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<|im_start|>user
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Hello!<|im_end|>
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<|im_start|>assistant
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Hi! How can I help you today?<|im_end|>
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<|im_start|>user
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Take a look at the info below.
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- The tape inside the VHS cassettes is very delicate and can be easily ruined,
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making them unplayable and unrepairable. The reason the tape deteriorates is that
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the magnetic charge needed for them to work is not permanent, and the magnetic
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particles end up losing their charge in a process known as remanence decay. These
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particles could also become demagnetised via being stored too close to a magnetic
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source.
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- One of the most significant issues with VHS tapes is that they have moving parts,
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meaning that there are more occasions when something can go wrong, damaging your
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footage or preventing it from playing back. The tape itself is a prominent cause
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of this, and tape slippage can occur. Tapes slippage can be caused when the tape
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loses its tension, or it has become warped. These problems can occur in storage
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due to high temperatures or frequent changes in humidity.
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- VHS tapes deteriorate over time from infrequent or overuse. Neglect means mold
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and dirt, while overuse can lead to scratches and technical difficulties. This
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is why old VHS tapes inevitably experience malfunctions after a long period of
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time. Usually anywhere between 10 to 25+ years.
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- Some VHS tapes like newer mini DVs and Digital 8 tapes can suffer from digital
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corruption, meaning that the footage becomes lost and cannot be recovered. These
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tapes were the steppingstone from VHS to the digital age when capturing footage
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straight to digital became the norm. Unfortunately,they are susceptible to digital
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corruption, which causes video pixilation and/or loss of audio.<|im_end|>
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<|im_start|>assistant
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Alright!<|im_end|>
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<|im_start|>user
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Now I''m going to write my question, and if the info above is useful, you can
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use them in your response.
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Ready?<|im_end|>
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<|im_start|>assistant
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Ready for your question!<|im_end|>
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<|im_start|>user
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Why do VHS tapes deteriorate over time?<|im_end|>
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<|im_start|>assistant'
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inference:
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parameters:
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max_new_tokens: 250
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penalty_alpha: 0.5
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top_k: 4
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repetition_penalty: 1.105
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model-index:
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- name: Smol-Llama-101M-Chat-v1
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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: 22.87
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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=Felladrin/Smol-Llama-101M-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: 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: 28.69
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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=Felladrin/Smol-Llama-101M-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 (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: 24.93
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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=Felladrin/Smol-Llama-101M-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: 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: 45.76
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Smol-Llama-101M-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: 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: 50.04
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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=Felladrin/Smol-Llama-101M-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: 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: 0.08
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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=Felladrin/Smol-Llama-101M-Chat-v1
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name: Open LLM Leaderboard
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---
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# A Llama Chat Model of 101M Parameters
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top_k: 4
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repetition_penalty: 1.105
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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_Felladrin__Smol-Llama-101M-Chat-v1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |28.73|
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|AI2 Reasoning Challenge (25-Shot)|22.87|
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|HellaSwag (10-Shot) |28.69|
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|MMLU (5-Shot) |24.93|
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|TruthfulQA (0-shot) |45.76|
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|Winogrande (5-shot) |50.04|
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|GSM8k (5-shot) | 0.08|
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