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--- |
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license: cc-by-nc-4.0 |
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model-index: |
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- name: Mistral-7b-instruct-v0.2-summ-sft-bf16-e2 |
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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: 60.67 |
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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=genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-bf16-e2 |
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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: 83.55 |
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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=genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-bf16-e2 |
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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: 60.81 |
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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=genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-bf16-e2 |
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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: 65.1 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-bf16-e2 |
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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=genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-bf16-e2 |
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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: 39.42 |
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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=genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-bf16-e2 |
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name: Open LLM Leaderboard |
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--- |
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Description to load and test will be added soon. More details on training and data will be added aswell. |
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### **Loading the Model** |
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Use the following Python code to load the model: |
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```python |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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TBD |
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``` |
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### **Generating Text** |
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To generate text, use the following Python code: |
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```python |
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text = "Hi, my name is " |
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inputs = tokenizer(text, return_tensors="pt") |
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outputs = model.generate(**inputs, max_new_tokens=64) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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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_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-bf16-e2) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |64.52| |
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|AI2 Reasoning Challenge (25-Shot)|60.67| |
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|HellaSwag (10-Shot) |83.55| |
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|MMLU (5-Shot) |60.81| |
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|TruthfulQA (0-shot) |65.10| |
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|Winogrande (5-shot) |77.58| |
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|GSM8k (5-shot) |39.42| |
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