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adapter_config.json ADDED
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+ {
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+ "base_model_name_or_path": "models/llama-7b-4bit",
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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": 64,
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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": 32,
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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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+ }
adapter_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:25d67fdd0b8b50a380df8e30088869f592439d774760f07fe7fe2f48f3ce49b7
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+ size 67154893
training_parameters.json ADDED
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+ {"lora_name": "ToddLora-7b", "always_override": false, "save_steps": 1000.0, "micro_batch_size": 4, "batch_size": 128, "epochs": 3.0, "learning_rate": "3e-4", "lr_scheduler_type": "linear", "lora_rank": 32, "lora_alpha": 64, "lora_dropout": 0.05, "cutoff_len": 256, "dataset": "ToddProxy-geany", "eval_dataset": "None", "format": "todd", "eval_steps": 100.0, "raw_text_file": "None", "overlap_len": 128, "newline_favor_len": 128, "higher_rank_limit": false, "warmup_steps": 100.0, "optimizer": "adamw_torch"}