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--- |
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license: apache-2.0 |
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library_name: transformers |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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inference: false |
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model-index: |
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- name: Gecko-7B-v0.1 |
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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: 61.35 |
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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=NeuralNovel/Gecko-7B-v0.1 |
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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: 83.36 |
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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=NeuralNovel/Gecko-7B-v0.1 |
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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: 61.05 |
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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=NeuralNovel/Gecko-7B-v0.1 |
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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: 62.6 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1 |
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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: 77.58 |
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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=NeuralNovel/Gecko-7B-v0.1 |
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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: 41.55 |
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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=NeuralNovel/Gecko-7B-v0.1 |
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name: Open LLM Leaderboard |
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--- |
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/645cfe4603fc86c46b3e46d1/orsrtXfG5xYdx3f20bOOt.jpeg) |
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# Gecko-7B-v0.1 |
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Designed to generate instructive and narrative text, with a focus on mathematics & numeracy. |
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Full-parameter fine-tune (FFT) of Mistral-7B-Instruct-v0.2, with apache-2.0 license. |
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You may download and use this model for research, training and commercial purposes. |
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This model is suitable for commercial deployment. |
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### Data-set |
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The model was finetuned using the Neural-Mini-Math dataset (Currently Private) |
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### Summary |
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Fine-tuned with the intention of following all prompt directions, making it more suitable for roleplay and problem solving. |
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#### Out-of-Scope Use |
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The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes. |
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### Bias, Risks, and Limitations |
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This model may not work as intended. As such all users are encouraged to use this model with caution and respect. |
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This model is for testing and research purposes only, it has reduced levels of alignment and as a result may produce NSFW or harmful content. |
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The user is responsible for their output and must use this model responsibly. |
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### Hardware and Training |
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``` |
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n_epochs = 3, |
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n_checkpoints = 3, |
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batch_size = 12, |
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learning_rate = 1e-5, |
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``` |
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*Sincere appreciation to Techmind for their generous sponsorship.* |
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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_NeuralNovel__Gecko-7B-v0.1) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |64.58| |
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|AI2 Reasoning Challenge (25-Shot)|61.35| |
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|HellaSwag (10-Shot) |83.36| |
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|MMLU (5-Shot) |61.05| |
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|TruthfulQA (0-shot) |62.60| |
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|Winogrande (5-shot) |77.58| |
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|GSM8k (5-shot) |41.55| |
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