Update README.md

README.md

@@ -41,66 +41,66 @@ print(result[0]['generated_text'])
 
 
 # Model Information
-- ** model_name = "NousResearch/Llama-2-7b-chat-hf"
+- **model_name = "NousResearch/Llama-2-7b-chat-hf"
 
-- ** dataset_name = "b-mc2/sql-create-context"
+- **dataset_name = "b-mc2/sql-create-context"
 
 
 # QLoRA parameters
-- ** lora_r = 64
+- **lora_r = 64
 
-- ** lora_alpha = 16
+- **lora_alpha = 16
 
-- ** lora_dropout = 0.1
+- **lora_dropout = 0.1
 
 
 # bitsandbytes parameters
-- ** use_4bit = True
+- **use_4bit = True
 
-- ** bnb_4bit_compute_dtype = "float16"
+- **bnb_4bit_compute_dtype = "float16"
 
-- ** bnb_4bit_quant_type = "nf4"
+- **bnb_4bit_quant_type = "nf4"
 
-- ** use_nested_quant = False
+- **use_nested_quant = False
 
 
 # TrainingArguments parameters
-- ** num_train_epochs = 1
+- **num_train_epochs = 1
 
-- ** fp16 = False
+- **fp16 = False
 
-- ** bf16 = False
+- **bf16 = False
 
-- ** per_device_train_batch_size = 8
+- **per_device_train_batch_size = 8
 
-- ** per_device_eval_batch_size = 4
+- **per_device_eval_batch_size = 4
 
-- ** gradient_accumulation_steps = 1
+- **gradient_accumulation_steps = 1
 
-- ** gradient_checkpointing = True
+- **gradient_checkpointing = True
 
-- ** max_grad_norm = 0.3
+- **max_grad_norm = 0.3
 
-- ** learning_rate = 2e-4
+- **learning_rate = 2e-4
 
-- ** weight_decay = 0.001
+- **weight_decay = 0.001
 
-- ** optim = "paged_adamw_32bit"
+- **optim = "paged_adamw_32bit"
 
-- ** lr_scheduler_type = "cosine"
+- **lr_scheduler_type = "cosine"
 
-- ** max_steps = -1
+- **max_steps = -1
 
-- ** warmup_ratio = 0.03
+- **warmup_ratio = 0.03
 
-- ** group_by_length = True
+- **group_by_length = True
 
-- ** save_steps = 0
+- **save_steps = 0
 
-- ** logging_steps = 25
+- **logging_steps = 25
 
 
 # SFT parameters
-- ** max_seq_length = None
+- **max_seq_length = None
 
-- ** packing = False
+- **packing = False