--- language: - en license: bigscience-openrail-m library_name: transformers tags: - code datasets: - tyson0420/stackexchange-4dpo-filby-clang-keywords metrics: - code_eval model-index: - name: stack_codellama-7b-inst results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 43.52 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 66.17 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 39.59 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 39.03 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 65.67 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 15.85 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst name: Open LLM Leaderboard --- # Model Card for Model ID ## Model Details Evaluating generations... { "humaneval": { "pass@1": 0.32499999999999996, "pass@10": 0.4329268292682927 }, "config": { "prefix": "", "do_sample": true, "temperature": 0.2, "top_k": 0, "top_p": 0.95, "n_samples": 10, "eos": "<|endoftext|>", "seed": 0, "model": "tyson0420/stack_codellama-7b-inst", "modeltype": "causal", "peft_model": null, "revision": null, "use_auth_token": false, "trust_remote_code": false, "tasks": "humaneval", "instruction_tokens": null, "batch_size": 10, "max_length_generation": 512, "precision": "fp32", "load_in_8bit": false, "load_in_4bit": false, "left_padding": false, "limit": null, "limit_start": 0, "save_every_k_tasks": -1, "postprocess": true, "allow_code_execution": true, "generation_only": false, "load_generations_path": null, "load_data_path": null, "metric_output_path": "evaluation_results.json", "save_generations": false, "load_generations_intermediate_paths": null, "save_generations_path": "generations.json", "save_references": false, "save_references_path": "references.json", "prompt": "prompt", "max_memory_per_gpu": null, "check_references": false } } ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [tyson0420] # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_tyson0420__stack_codellama-7b-inst) | Metric |Value| |---------------------------------|----:| |Avg. |44.97| |AI2 Reasoning Challenge (25-Shot)|43.52| |HellaSwag (10-Shot) |66.17| |MMLU (5-Shot) |39.59| |TruthfulQA (0-shot) |39.03| |Winogrande (5-shot) |65.67| |GSM8k (5-shot) |15.85|