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adapter_config.json ADDED
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+ {
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+ "base_model_name_or_path": "models\\IlyaGusev_llama_7b_ru_turbo_alpaca_lora_merged",
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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": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 16,
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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 sha256:8dec86b9f59394a84ffe44bd8a00def9c181d94539df6ff451f9fd067127749e
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+ size 33600461
training_parameters.json ADDED
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+ {"lora_name": "babel_v8_2e_05_100_16_32", "always_override": false, "save_steps": 0.0, "micro_batch_size": 8, "batch_size": 128, "epochs": 100.0, "learning_rate": "2e-05", "lr_scheduler_type": "linear", "lora_rank": 16, "lora_alpha": 32, "lora_dropout": 0.05, "cutoff_len": 512, "dataset": "babel", "eval_dataset": "None", "format": "alpaca-format-ru", "eval_steps": 100.0, "raw_text_file": "None", "overlap_len": 128, "newline_favor_len": 128, "do_shuffle": true, "higher_rank_limit": false, "warmup_steps": 100.0, "optimizer": "adamw_torch"}