Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,7 +1,5 @@
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---
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license: apache-2.0
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datasets:
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- Intel/orca_dpo_pairs
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tags:
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- mistral
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- dpo
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- finetune
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- chatml
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- instruct
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/-BlRd-74Hk4B153wl_ryD.png)
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@@ -60,4 +163,17 @@ The total training time was 1 hour and 10 minutes.
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**DPOTrainer**:
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* beta=0.1
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* max_prompt_length=1024
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* max_length=1536
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---
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license: apache-2.0
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tags:
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- mistral
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- dpo
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- finetune
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- chatml
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- instruct
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+
datasets:
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- Intel/orca_dpo_pairs
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model-index:
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- name: Neural-una-cybertron-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: 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: 69.03
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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=PulsarAI/Neural-una-cybertron-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: 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: 84.51
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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=PulsarAI/Neural-una-cybertron-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 (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: 62.79
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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=PulsarAI/Neural-una-cybertron-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: 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: 64.99
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/Neural-una-cybertron-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: 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: 80.66
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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=PulsarAI/Neural-una-cybertron-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: 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: 52.31
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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=PulsarAI/Neural-una-cybertron-7b
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name: Open LLM Leaderboard
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/-BlRd-74Hk4B153wl_ryD.png)
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**DPOTrainer**:
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* beta=0.1
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* max_prompt_length=1024
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* max_length=1536
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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_PulsarAI__Neural-una-cybertron-7b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.05|
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|AI2 Reasoning Challenge (25-Shot)|69.03|
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|HellaSwag (10-Shot) |84.51|
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|MMLU (5-Shot) |62.79|
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|TruthfulQA (0-shot) |64.99|
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|Winogrande (5-shot) |80.66|
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|GSM8k (5-shot) |52.31|
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