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--- |
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language: |
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- ko |
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license: cc-by-nc-4.0 |
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model-index: |
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- name: LDCC-SOLAR-10.7B |
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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: 67.32 |
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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=LDCC/LDCC-SOLAR-10.7B |
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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: 88.11 |
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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=LDCC/LDCC-SOLAR-10.7B |
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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: 66.83 |
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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=LDCC/LDCC-SOLAR-10.7B |
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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: 68.85 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LDCC/LDCC-SOLAR-10.7B |
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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: 83.66 |
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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=LDCC/LDCC-SOLAR-10.7B |
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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: 53.6 |
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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=LDCC/LDCC-SOLAR-10.7B |
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name: Open LLM Leaderboard |
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--- |
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# Model Card for LDCC-SOLAR-10.7B |
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## Developed by : Wonchul Kim ([Lotte Data Communication](https://www.ldcc.co.kr) AI Technical Team) |
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## Hardware and Software |
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* **Hardware**: We utilized an A100x4 * 1 for training our model |
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* **Training Factors**: We fine-tuned this model using a combination of the [DeepSpeed library](https://github.com/microsoft/DeepSpeed) and the [HuggingFace TRL Trainer](https://huggingface.co/docs/trl/trainer) / [HuggingFace Accelerate](https://huggingface.co/docs/accelerate/index) |
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## Method |
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- This model was trained using the learning method introduced in the [SOLAR paper](https://arxiv.org/pdf/2312.15166.pdf). |
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## Base Model |
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- [yanolja/KoSOLAR-10.7B-v0.1](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.1) (This model is no longer supported due to a tokenizer issue.) |
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## Caution |
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- If you want to fine-tune this model, it is recommended to use the [tokenizer.json](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B/blob/v1.1/tokenizer.json) and [tokenizer_config.json](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B/blob/v1.1/tokenizer_config.json) files from revision v1.1. |
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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_LDCC__LDCC-SOLAR-10.7B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.40| |
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|AI2 Reasoning Challenge (25-Shot)|67.32| |
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|HellaSwag (10-Shot) |88.11| |
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|MMLU (5-Shot) |66.83| |
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|TruthfulQA (0-shot) |68.85| |
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|Winogrande (5-shot) |83.66| |
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|GSM8k (5-shot) |53.60| |
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