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--- |
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license: other |
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tags: |
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- axolotl |
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- generated_from_trainer |
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datasets: |
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- allenai/ai2_arc |
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- camel-ai/physics |
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- camel-ai/chemistry |
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- camel-ai/biology |
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- metaeval/reclor |
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- openbookqa |
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- mandyyyyii/scibench |
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- derek-thomas/ScienceQA |
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- wenhu/TheoremQA |
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- TIGER-Lab/ScienceEval |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: Einstein-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: 61.6 |
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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=Weyaxi/Einstein-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: 84.35 |
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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=Weyaxi/Einstein-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: 62.87 |
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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=Weyaxi/Einstein-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: 42.55 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-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: 77.51 |
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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=Weyaxi/Einstein-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: 36.01 |
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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=Weyaxi/Einstein-7B |
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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/6468ce47e134d050a58aa89c/uvfa4GVWrnd8SS6yBxRJZ.jpeg) |
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# 🔬 Einstein-7B |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on datasets related to science. |
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This model is fine-tuned using [QLoRa](https://arxiv.org/abs/2305.14314) and [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl). |
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This model's training was sponsored by [sablo.ai](https://sablo.ai). |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.3.0` |
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```yaml |
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base_model: mistralai/Mistral-7B-v0.1 |
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model_type: MistralForCausalLM |
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tokenizer_type: LlamaTokenizer |
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is_mistral_derived_model: true |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: sci-datasets/arc_challange_train_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/camelai_biology_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/camelai_chemistry_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/camelai_physics_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/openbookqa_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/reclor_science_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/scibench_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/scienceqa_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/theoremqa_alpaca.json |
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ds_type: json |
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type: alpaca |
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- path: sci-datasets/tiger_scienceeval_alpaca.json |
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ds_type: json |
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type: alpaca |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0 |
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output_dir: ./science-mistral |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 8192 |
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sample_packing: true |
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pad_to_sequence_len: true |
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lora_r: 128 |
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lora_alpha: 64 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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lora_target_modules: |
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- gate_proj |
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- down_proj |
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- up_proj |
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- q_proj |
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- v_proj |
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- k_proj |
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- o_proj |
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wandb_project: huggingface |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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hub_model_id: Weyaxi/science-mistral |
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# change # |
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gradient_accumulation_steps: 12 |
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micro_batch_size: 6 |
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num_epochs: 2 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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# change # |
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train_on_inputs: false |
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group_by_length: false |
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bf16: true |
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fp16: false |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 10 |
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saves_per_epoch: 3 |
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debug: |
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deepspeed: |
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weight_decay: 0.1 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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bos_token: "<s>" |
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eos_token: "</s>" |
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unk_token: "<unk>" |
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``` |
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</details><br> |
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# 📊 Datasets |
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Following datasets were used in this model: |
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- [ARC](https://huggingface.co/datasets/allenai/ai2_arc) (Note: Only **train** part) |
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- [camel-ai/physics](https://huggingface.co/datasets/camel-ai/physics) |
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- [camel-ai/chemistry](https://huggingface.co/datasets/camel-ai/chemistry) |
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- [camel-ai/biology](https://huggingface.co/datasets/camel-ai/biology) |
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- [openbookqa](https://huggingface.co/datasets/openbookqa) |
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- [reclor](https://huggingface.co/datasets/metaeval/reclor) |
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- [scibench](https://github.com/mandyyyyii/scibench) |
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- [ScienceQA](https://huggingface.co/datasets/derek-thomas/ScienceQA) |
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- [TheoremQA](https://huggingface.co/datasets/wenhu/TheoremQA) |
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- [ScienceEval](https://huggingface.co/datasets/TIGER-Lab/ScienceEval) |
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# 💬 Prompt Template |
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You can use this prompt template while using the model: |
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### Alpaca |
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``` |
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Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. |
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### Instruction: |
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{instruction} |
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### Input: |
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{input} |
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### Response: |
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``` |
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# 🤝 Acknowledgments |
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Thanks to Platypus for providing scripts to convert some of the datasets to Alpaca format: [Platypus/data_pipeline](https://github.com/arielnlee/Platypus/tree/main/data_pipeline) |
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Thanks to all the dataset authors mentioned in the datasets section. |
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Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository I used to make this model. |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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If you would like to support me: |
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[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi) |
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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_Weyaxi__Einstein-7B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |60.81| |
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|AI2 Reasoning Challenge (25-Shot)|61.60| |
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|HellaSwag (10-Shot) |84.35| |
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|MMLU (5-Shot) |62.87| |
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|TruthfulQA (0-shot) |42.55| |
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|Winogrande (5-shot) |77.51| |
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|GSM8k (5-shot) |36.01| |
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