Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (d031fd883ed62246a960f6100974aa16d058de52)
README.md
CHANGED
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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-inference
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- transformers
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- mega-series
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- SpydazWebAI
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base_model: LeroyDyer/Mixtral_AI_CyberTron_Ultra
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metrics:
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- accuracy
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- bertscore
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- bleu
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- brier_score
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- cer
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- character
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- charcut_mt
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- chrf
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- code_eval
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library_name: transformers
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datasets:
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- gretelai/synthetic_text_to_sql
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- HuggingFaceTB/cosmopedia
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- Rogendo/English-Swahili-Sentence-Pairs
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- meta-math/MetaMathQA
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---
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# Uploaded model
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@@ -116,4 +211,17 @@ Im not sure if Lora actually works when you save them but i do save some and use
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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language:
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- en
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license: apache-2.0
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+
library_name: transformers
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tags:
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- text-generation-inference
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- transformers
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- mega-series
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- SpydazWebAI
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base_model: LeroyDyer/Mixtral_AI_CyberTron_Ultra
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datasets:
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- gretelai/synthetic_text_to_sql
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- HuggingFaceTB/cosmopedia
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- Rogendo/English-Swahili-Sentence-Pairs
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- meta-math/MetaMathQA
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metrics:
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- accuracy
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- bertscore
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+
- bleu
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+
- brier_score
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+
- cer
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+
- character
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- charcut_mt
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- chrf
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- code_eval
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model-index:
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- name: SpydazWeb_AI_CyberTron_Ultra_7b
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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: 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: 15.56
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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=LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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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: 27.75
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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=LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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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: 1.36
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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=LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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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: 5.7
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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=LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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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: 10.3
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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=LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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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: 20.73
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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=LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
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name: Open LLM Leaderboard
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---
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# Uploaded model
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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+
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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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/LeroyDyer__SpydazWeb_AI_CyberTron_Ultra_7b-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |13.57|
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|IFEval (0-Shot) |15.56|
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|BBH (3-Shot) |27.75|
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|MATH Lvl 5 (4-Shot)| 1.36|
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|GPQA (0-shot) | 5.70|
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|MuSR (0-shot) |10.30|
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|MMLU-PRO (5-shot) |20.73|
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