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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
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  base_model:
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  - yanolja/EEVE-Korean-Instruct-10.8B-v1.0
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  - kuotient/EEVE-Math-10.8B-SFT
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  library_name: transformers
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  tags:
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- - mergekit
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  - merge
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  ---
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- # merge
 
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- This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
 
 
 
 
 
 
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  ## Merge Details
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- ### Merge Method
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-
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  This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0) as a base.
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  ### Models Merged
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  dtype: bfloat16
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ model-index:
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+ - name: EEVE-Instruct-Math-10.8B
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: gsm8k-ko
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+ type: gsm8k
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+ metrics:
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+ - name: pass@1
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+ type: pass@1
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+ value: 0.4951
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+ verified: false
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  base_model:
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  - yanolja/EEVE-Korean-Instruct-10.8B-v1.0
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  - kuotient/EEVE-Math-10.8B-SFT
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  library_name: transformers
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  tags:
 
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  - merge
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  ---
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+ # EEVE-Math-10.8B-SFT
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+ 이 모델은 [Orca-Math: Unlocking the potential of SLMs in Grade School Math](https://arxiv.org/pdf/2402.14830.pdf)및 [DARE](https://arxiv.org/abs/2311.03099)의 개념과 이를 활용한 내용을 포함하고 있습니다.
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+ | Model | gsm8k-ko(pass@1) |
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+ |---|---|
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+ | Base | 0.4049 |
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+ | EEVE-Math(epoch 1) | 0.508 |
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+ | EEVE-Math (epoch 2) | **0.539** |
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+ | [EEVE-Instruct](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0) | 0.4511 |
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+ | EEVE-Instruct + Math(epoch 1) | 0.4951 |
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+ | EEVE-Instruct + Math(epoch 2) | **0.5148** |
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  ## Merge Details
 
 
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  This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0) as a base.
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  ### Models Merged
 
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  dtype: bfloat16
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  ```
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+
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+ ## Evaluation
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+ [gsm8k-ko](https://huggingface.co/datasets/kuotient/gsm8k-ko), kobest
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+ ```
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+ git clone https://github.com/kuotient/lm-evaluation-harness.git
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+ cd lm-evaluation-harness
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+ pip install -e .
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+ ```
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+ ```
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+ lm_eval --model hf \
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+ --model_args pretrained=yanolja/EEVE-Korean-Instruct-2.8B-v1.0 \
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+ --tasks gsm8k-ko \
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+ --device cuda:0 \
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+ --batch_size auto:4
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+ ```
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+
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+ | Model | gsm8k(pass@1) | boolq(acc) | copa(acc) | hellaswag(acc) | Overall |
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+ |---|---|---|---|---|---|
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+ | yanolja/EEVE-Korean-10.8B-v1.0 | 0.4049 | - | - | - | - | - |
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+ | yanolja/EEVE-Korean-Instruct-10.8B-v1.0 | 0.4511 | **0.8668** | **0.7450** | **0.4940** | 0.6392 |
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+ | [**EEVE-Math-10.8B-SFT**](https://huggingface.co/kuotient/EEVE-Math-10.8B-SFT) | **0.5390** | 0.8027 | 0.7260 | 0.4760 | 0.6359 |
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+ | **EEVE-Instruct-Math-10.8B** | 0.4951 | 0.8283 | 0.7500 | 0.4880 | **0.6403** |