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adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
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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": 128,
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+ "lora_dropout": 0.01,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 64,
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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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+ }
training_log.json ADDED
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+ {
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+ "base_model_name": "Llama2-13B-GPTQ",
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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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+ "projections": "q, v",
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+ "loss": 1.7243,
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+ "learning_rate": 6.733428315694157e-07,
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+ "epoch": 1.0,
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+ "current_steps": 9599,
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+ "train_runtime": 3878.3685,
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+ "train_samples_per_second": 2.479,
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+ "train_steps_per_second": 0.019,
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+ "total_flos": 3195128512512000.0,
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+ "train_loss": 1.8589664967854818
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+ }
training_parameters.json ADDED
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+ {
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+ "lora_name": "lmg2",
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+ "always_override": false,
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+ "save_steps": 0.0,
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+ "micro_batch_size": 1,
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+ "batch_size": 128,
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+ "epochs": 1.0,
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+ "learning_rate": "0.00006",
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+ "lr_scheduler_type": "cosine",
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+ "lora_rank": 64,
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+ "lora_alpha": 128,
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+ "lora_dropout": 0.01,
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+ "cutoff_len": 256,
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+ "dataset": "None",
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+ "eval_dataset": "None",
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+ "format": "None",
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+ "eval_steps": 100.0,
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+ "raw_text_file": "lmg2",
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+ "overlap_len": 128,
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+ "newline_favor_len": 128,
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+ "higher_rank_limit": false,
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+ "warmup_steps": 100.0,
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+ "optimizer": "adamw_torch",
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+ "hard_cut_string": "\\n\\n\\n",
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+ "train_only_after": "",
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+ "stop_at_loss": 0,
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+ "add_eos_token": false,
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+ "min_chars": 0.0,
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+ "report_to": "None"
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+ }