Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
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---
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license: apache-2.0
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pipeline_tag: text-generation
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library_name: transformers
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---
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TrainOutput(global_step=180, training_loss=0.06880439353962547, metrics={'train_runtime': 1644.0348, 'train_samples_per_second': 1.749, 'train_steps_per_second': 0.109, 'total_flos': 0.0, 'train_loss': 0.06880439353962547, 'epoch': 0.5006954102920723})
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---
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@@ -26,4 +121,17 @@ tags:
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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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---
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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model-index:
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- name: zephyr-sft-bnb-4bit-DPO-mtbo-180steps
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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: 40.87
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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=sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps
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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: 21.35
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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=sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps
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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: 1.81
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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=sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps
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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: 3.47
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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=sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps
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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: 6.16
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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=sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps
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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: 19.42
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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=sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps
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name: Open LLM Leaderboard
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---
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TrainOutput(global_step=180, training_loss=0.06880439353962547, metrics={'train_runtime': 1644.0348, 'train_samples_per_second': 1.749, 'train_steps_per_second': 0.109, 'total_flos': 0.0, 'train_loss': 0.06880439353962547, 'epoch': 0.5006954102920723})
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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/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sonthenguyen__zephyr-sft-bnb-4bit-DPO-mtbo-180steps)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |15.51|
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|IFEval (0-Shot) |40.87|
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|BBH (3-Shot) |21.35|
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|MATH Lvl 5 (4-Shot)| 1.81|
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|GPQA (0-shot) | 3.47|
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|MuSR (0-shot) | 6.16|
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|MMLU-PRO (5-shot) |19.42|
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