Update README.md

README.md

@@ -19,21 +19,25 @@ language:
 
 # sqlcoder-7b-2_FineTuned_QLORA_Adapter
 
-This model is a fine-tuned version of [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2) on 260 MS SQL examples (Task, Schema and Answer).
+This model is a fine-tuned version of [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2) on 260 SQL examples (Task, Schema and Answer triplets) related to financial/banking domain.
 
 ## Intended uses & limitations
 
-MS Server - SQL Query Generation
+MS SQL Server - SQL Query Generation
 
-## Training and evaluation data
+## Training
 
-This model was re-trained using the QLoRA method, with the following configurations:
-- 'r = 64', 'lora_alpha = 32', 'lora_dropout = 0.05', bias='none', task_type='CAUSAL_LM'
+This model was trained using the QLoRA method with the following configurations:
+- r = 64,
+- lora_alpha = 32
+- lora_dropout = 0.05
+- bias='none'
+- task_type='CAUSAL_LM'
 
 Quantization parameters: 
-- load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16
-
-## Training procedure
+- load_in_4bit=True
+- bnb_4bit_quant_type="nf4"
+- bnb_4bit_compute_dtype=torch.bfloat16
 
 ### Training hyperparameters