Commit
Browse files- README.md +3 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- training_log.json +10 -0
- training_prompt.json +5 -0
README.md
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---
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library_name: peft
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---
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adapter_config.json
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{
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"base_model_name_or_path": "models/OpenAssistant_llama2-13b-orca-8k-3319",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 1024,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 512,
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"revision": null,
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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:b1f4cccde5d08d2593015555b3fe0192684379c1dd27c9b9736d5967385957cf
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size 1677779533
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training_log.json
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{
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"base_model_name": "OpenAssistant_llama2-13b-orca-8k-3319",
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"base_model_class": "LlamaForCausalLM",
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"base_loaded_in_4bit": false,
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"base_loaded_in_8bit": false,
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"loss": 0.236,
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"learning_rate": 9.35284320258638e-06,
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"epoch": 9.36,
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"current_steps": 15342
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}
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training_prompt.json
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{
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"template_type": "dataset",
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"template_1": "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Response:\n%output%",
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"template_2": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%"
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}
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