Adding Evaluation Results

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  1. README.md +119 -3
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
@@ -11,9 +12,8 @@ tags:
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  - dpo
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  - uncensored
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  - roleplay
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- - fine-tune
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  base_model: MTSAIR/multi_verse_model
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- library_name: transformers
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  datasets:
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  - grimulkan/theory-of-mind
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  - grimulkan/physical-reasoning
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  - unalignment/toxic-dpo-v0.2
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  - kira/math-dpo
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  - athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # 💫 Pulsar_7B
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  Pulsar_7B is a fine-tune of [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model), trained on these datasets:
@@ -38,4 +141,17 @@ Thanks to mradermacher, static GGUF quants are available [here](https://huggingf
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  ---
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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:
3
  - 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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  - dpo
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  - uncensored
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  - roleplay
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+ - fine-tune
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  base_model: MTSAIR/multi_verse_model
 
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  datasets:
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  - grimulkan/theory-of-mind
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  - grimulkan/physical-reasoning
 
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  - unalignment/toxic-dpo-v0.2
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  - kira/math-dpo
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  - athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED
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+ model-index:
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+ - name: Pulsar_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: 69.71
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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=rmdhirr/Pulsar_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: 86.99
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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=rmdhirr/Pulsar_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: 63.72
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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=rmdhirr/Pulsar_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: 69.28
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Pulsar_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: 84.06
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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=rmdhirr/Pulsar_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: 71.65
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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=rmdhirr/Pulsar_7B
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+ name: Open LLM Leaderboard
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  ---
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  # 💫 Pulsar_7B
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  Pulsar_7B is a fine-tune of [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model), trained on these datasets:
 
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  ---
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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/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rmdhirr__Pulsar_7B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |74.23|
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+ |AI2 Reasoning Challenge (25-Shot)|69.71|
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+ |HellaSwag (10-Shot) |86.99|
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+ |MMLU (5-Shot) |63.72|
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+ |TruthfulQA (0-shot) |69.28|
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+ |Winogrande (5-shot) |84.06|
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+ |GSM8k (5-shot) |71.65|
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+