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library_name: peft |
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--- |
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Open source falcon 7b large language model fine tuned on SQuAD dataset for question and answering. |
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QLoRA technique used for fine tuning the model on consumer grade GPU |
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SFTTrainer is also used. |
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Dataset used: SQuAD |
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Dataset Size: 87278 |
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Training Steps: 500 |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- load_in_8bit: True |
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- load_in_4bit: False |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: False |
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- bnb_4bit_compute_dtype: float16 |
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The following `bitsandbytes` quantization config was used during training: |
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- load_in_8bit: True |
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- load_in_4bit: False |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: False |
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- bnb_4bit_compute_dtype: float16 |
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### Framework versions |
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- PEFT 0.4.0.dev0 |
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- PEFT 0.4.0.dev0 |
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