Llama 7B lora fine-tune 2 epoch training on webNLG2017, 256, 128 length for context and completion (#1)
Browse files- Llama 7B lora fine-tune 2 epoch training on webNLG2017, 256, 128 length for context and completion (09f48036dbaca29ea9135ee5814e14b1979bfebb)
- adapter_config.json +17 -0
- adapter_model.bin +3 -0
adapter_config.json
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{
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"base_model_name_or_path": "huggyllama/llama-7b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:56232fc904cb243180b47ba9ae9e02ef06e039ed8b8fef3d5829a9fbda444be2
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size 16822989
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