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AAAAAAA/adapter_config.json ADDED
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+ "init_lora_weights": true,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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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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+ "task_type": "CAUSAL_LM"
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+ }
AAAAAAA/adapter_model.bin ADDED
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AAAAAAA/training_parameters.json ADDED
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+ {"lora_name": "AAAAAAA", "always_override": false, "save_steps": 0.0, "micro_batch_size": 1, "batch_size": 128, "epochs": 3.0, "learning_rate": "9e-4", "lr_scheduler_type": "linear", "lora_rank": 32, "lora_alpha": 64, "lora_dropout": 0.05, "cutoff_len": 256, "dataset": "None", "eval_dataset": "None", "format": "None", "eval_steps": 100.0, "raw_text_file": "AAAAAAA", "overlap_len": 128, "newline_favor_len": 128, "higher_rank_limit": false, "warmup_steps": 100.0, "optimizer": "adamw_torch"}
BBBBBBB/adapter_config.json ADDED
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+ "r": 32,
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+ "task_type": "CAUSAL_LM"
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+ }
BBBBBBB/adapter_model.bin ADDED
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BBBBBBB/training_parameters.json ADDED
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+ {"lora_name": "BBBBBBB", "always_override": false, "save_steps": 0.0, "micro_batch_size": 1, "batch_size": 128, "epochs": 3.0, "learning_rate": "9e-4", "lr_scheduler_type": "linear", "lora_rank": 32, "lora_alpha": 64, "lora_dropout": 0.05, "cutoff_len": 256, "dataset": "None", "eval_dataset": "None", "format": "None", "eval_steps": 100.0, "raw_text_file": "BBBBBBB", "overlap_len": 128, "newline_favor_len": 128, "higher_rank_limit": false, "warmup_steps": 100.0, "optimizer": "adamw_torch"}