Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
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---
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library_name: peft
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tags:
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- code
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datasets:
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- cognitivecomputations/dolphin-coder
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base_model: codellama/CodeLlama-7b-hf
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---
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### Finetuning Overview:
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@@ -42,4 +145,17 @@ With the utilization of [MonsterAPI](https://monsterapi.ai)'s [no-code LLM finet
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![Train Loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/aNujXePogMlJZmoi1Bq56.png)
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---
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-
license: apache-2.0
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---
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license: apache-2.0
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library_name: peft
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tags:
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- code
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datasets:
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- cognitivecomputations/dolphin-coder
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base_model: codellama/CodeLlama-7b-hf
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model-index:
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- name: mistral_7b_3Epoch_DolphinCoder
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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: 59.22
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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=Zangs3011/mistral_7b_3Epoch_DolphinCoder
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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: 82.32
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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=Zangs3011/mistral_7b_3Epoch_DolphinCoder
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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: 57.91
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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=Zangs3011/mistral_7b_3Epoch_DolphinCoder
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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: 43.7
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Zangs3011/mistral_7b_3Epoch_DolphinCoder
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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: 75.69
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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=Zangs3011/mistral_7b_3Epoch_DolphinCoder
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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: 26.23
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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=Zangs3011/mistral_7b_3Epoch_DolphinCoder
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name: Open LLM Leaderboard
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---
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### Finetuning Overview:
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![Train Loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/aNujXePogMlJZmoi1Bq56.png)
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---
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license: apache-2.0
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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_Zangs3011__mistral_7b_3Epoch_DolphinCoder)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |57.51|
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|AI2 Reasoning Challenge (25-Shot)|59.22|
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|HellaSwag (10-Shot) |82.32|
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|MMLU (5-Shot) |57.91|
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|TruthfulQA (0-shot) |43.70|
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|Winogrande (5-shot) |75.69|
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|GSM8k (5-shot) |26.23|
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