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business-model-trial-3
saaketh-j/business-model-trial-3
business-model-trial-3 is a machine learning model from saaketh-j. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - loadin8bit: False - loadin4bit: True - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffload: False - llmint8hasfp16w…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 2, 2023
- Updated
- Aug 2, 2023
- SHA
- 38365c30
Model card
From the Hugging Face model README
Training procedure
The following bitsandbytes quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
Framework versions
- PEFT 0.4.0
prompt: prompt = f""" You are going to determine whether [{data_point["Description"]}] includes the business model. Don't use any prior knowledge, only base your answer off of what's given. It might not be explicitly stated but infer whether the class is B2C, B2B, B2G, or No business model. Respond in sentence form with the class and reasoning -> <Answer>: {data_point['Answer']} """
- Library
- peft
- Created
- Aug 2, 2023
- Updated
- Aug 2, 2023