Update readme.md

Author: Abhilasha-Mangal

readme.md

@@ -23,73 +23,39 @@ You need the following to run the QueryCraft pipeline:
 
 | Base Model                       | Eval Dataset | Accuracy |
 | -------------------------------- | ------------ | -------- |
-| DB-chat-sql model/Codellama-13b  | Spider Dev   | 80.00%   |
 | DB-chat-sql model/Codellama-13b  | Spider Dev   | 63.60%   |
 | Granite 20B code Instruct        | Spider Dev   | 63%      |
 | CodeLlama 34B instruct           | Spider Dev   | 62.11%   |
 | CodeLlama 13B Instruct           | Spider Dev   | 57.98%   |
 | CodeLlama 7B Instruct            | Spider Dev   | 56%      |
 | CodeLlama 7B Instruct -finetune  | Spider Dev   | 55.62%   |
-| codeLlama 34B instruct           | Spider Dev   | 55.37%   |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 55.23%   |
-| codeLlama 34B instruct           | Spider Dev   | 55.00%   |
 | CodeLlama 13B Instruct -finetune | Spider Dev   | 53.87%   |
 | Lllama-2-70B                     | Spider Dev   | 53.44%   |
-| CodeLlama 13B Instruct-finetune  | Spider Dev   | 53.29%   |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 53.00%   |
 | Lllama-2-70B-Chat                | Spider Dev   | 52.00%   |
-| Codellama 13B Instruct           | Spider Dev   | 52.00%   |
 | Defog-sqlcoder-34b-alpha         | Spider Dev   | 51.93%   |
-| CodeLlama 7B Instruct            | Spider Dev   | 52%      |
 | sqlcoder-34b-alpha               | Spider Dev   | 51.21%   |
-| Granite 20B code Instruct        | Spider Dev   | 49%      |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 48.06%   |
 | Llama-2-7B-Chat -finetune        | Spider Dev   | 27.00%   |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 11.00%   |
+
 
 ### 2. Enhanced outcomes are evident with the query correction service, as demonstrated by its post-processing accuracy.
 
 | Base Model                       | Eval Dataset | Accuracy | Post Processed Accuracy |
 | -------------------------------- | ------------ | -------- | ----------------------- |
-| DB-chat-sql model/Codellama-13b  | Spider Dev   | 80.00%   | 80.00%                  |
 | DB-chat-sql model/Codellama-13b  | Spider Dev   | 63.60%   | 70.57%                  |
 | Granite 20B code Instruct        | Spider Dev   | 63%      | 69%                     |
 | codeLlama 34B instruct           | Spider Dev   | 62.11%   | 62.11%                  |
 | CodeLlama 13B Instruct           | Spider Dev   | 57.98%   | 64.04%                  |
 | CodeLlama 7B Instruct            | Spider Dev   | 56%      | 57.00%                  |
 | CodeLlama 7B Instruct -finetune  | Spider Dev   | 55.62%   | 61.24%                  |
-| codeLlama 34B instruct           | Spider Dev   | 55.37%   | 55.37%                  |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 55.23%   | 60.30%                  |
-| codeLlama 34B instruct           | Spider Dev   | 55.00%   | 55.00%                  |
 | CodeLlama 13B Instruct -finetune | Spider Dev   | 53.87%   | 59.96%                  |
 | Lllama-2-70B                     | Spider Dev   | 53.44%   | 53.44%                  |
-| CodeLlama 13B Instruct-finetune  | Spider Dev   | 53.29%   | 58.32%                  |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 53.00%   | 58.27%                  |
-| Codellama 13B Instruct           | Spider Dev   | 52.00%   | 52.00%                  |
 | Lllama-2-70B-Chat                | Spider Dev   | 52.00%   | 53.04%                  |
-| CodeLlama 7B Instruct            | Spider Dev   | 52%      | 57.11%                  |
 | Defog-sqlcoder-34b-alpha         | Spider Dev   | 51.93%   | 62.92%                  |
 | sqlcoder-34b-alpha               | Spider Dev   | 51.21%   | 56.05%                  |
-| Granite 20B code Instruct        | Spider Dev   | 49%      | 57%                     |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 48.06%   | 52.91%                  |
 | Llama-2-7B-Chat -finetune        | Spider Dev   | 27.00%   | 32%                     |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 11.00%   | 25.96%                  |
 
-### 3. Smaller fine-tuned models outperforming larger ones
+### 3. Smaller fine-tuned models outperform larger ones
 
-| Base Model                       | Eval Dataset | Accuracy | Post Processed Accuracy |
-| -------------------------------- | ------------ | -------- | ----------------------- |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 55.62%   | 61.24%                  |
-| codeLlama 34B instruct           | Spider Dev   | 55.37%   | 55.37%                  |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 55.23%   | 60.30%                  |
-| CodeLlama 13B Instruct -finetune | Spider Dev   | 53.87%   | 59.96%                  |
-| Lllama-2-70B                     | Spider Dev   | 53.44%   | 53.44%                  |
-| CodeLlama 13B Instruct-finetune  | Spider Dev   | 53.29%   | 58.32%                  |
-| CodeLlama 7B Instruct -finetune  | Spider Dev   | 53.00%   | 58.27%                  |
-| Lllama-2-70B-Chat                | Spider Dev   | 52.00%   | 53.04%                  |
-| CodeLlama 7B Instruct            | Spider Dev   | 52%      | 57.11%                  |
-| sqlcoder-34b-alpha               | Spider Dev   | 51.21%   | 56.05%                  |
-| Granite 20B code Instruct        | Spider Dev   | 49%      | 57%                     |