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README.md
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# Model Information
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model_name = "NousResearch/Llama-2-7b-chat-hf"
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dataset_name = "b-mc2/sql-create-context"
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# QLoRA parameters
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lora_r = 64
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lora_alpha = 16
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lora_dropout = 0.1
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# bitsandbytes parameters
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use_4bit = True
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bnb_4bit_compute_dtype = "float16"
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bnb_4bit_quant_type = "nf4"
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use_nested_quant = False
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# TrainingArguments parameters
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num_train_epochs = 1
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fp16 = False
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bf16 = False
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per_device_train_batch_size = 8
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per_device_eval_batch_size = 4
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gradient_accumulation_steps = 1
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gradient_checkpointing = True
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max_grad_norm = 0.3
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learning_rate = 2e-4
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weight_decay = 0.001
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optim = "paged_adamw_32bit"
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lr_scheduler_type = "cosine"
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max_steps = -1
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warmup_ratio = 0.03
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group_by_length = True
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save_steps = 0
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logging_steps = 25
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# SFT parameters
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max_seq_length = None
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-
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# Model Information
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model_name = "NousResearch/Llama-2-7b-chat-hf"
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dataset_name = "b-mc2/sql-create-context"
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# QLoRA parameters
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lora_r = 64
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lora_alpha = 16
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lora_dropout = 0.1
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# bitsandbytes parameters
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use_4bit = True
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bnb_4bit_compute_dtype = "float16"
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bnb_4bit_quant_type = "nf4"
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use_nested_quant = False
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# TrainingArguments parameters
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num_train_epochs = 1
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fp16 = False
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bf16 = False
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per_device_train_batch_size = 8
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per_device_eval_batch_size = 4
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gradient_accumulation_steps = 1
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gradient_checkpointing = True
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max_grad_norm = 0.3
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learning_rate = 2e-4
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weight_decay = 0.001
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optim = "paged_adamw_32bit"
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lr_scheduler_type = "cosine"
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max_steps = -1
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warmup_ratio = 0.03
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group_by_length = True
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save_steps = 0
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logging_steps = 25
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# SFT parameters
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max_seq_length = None
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packing = False
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