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Update README.md

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@@ -41,6 +41,10 @@ A dataset containing 6,003 GPT-generated human instruction and Solidity source c
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  - Learning rate scheduler type: cosine
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  - Warmup ratio: 0.03
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  # Training Loss
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  ```
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  Step Training Loss
@@ -135,6 +139,7 @@ model = AutoModelForCausalLM.from_pretrained("AlfredPros/CodeLlama-7b-Instruct-S
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  # Make input
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  input='Make a smart contract to create a whitelist of approved wallets. The purpose of this contract is to allow the DAO (Decentralized Autonomous Organization) to approve or revoke certain wallets, and also set a checker address for additional validation if needed. The current owner address can be changed by the current owner.'
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  prompt = f"""### Instruction:
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  Use the Task below and the Input given to write the Response, which is a programming code that can solve the following Task:
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  - Learning rate scheduler type: cosine
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  - Warmup ratio: 0.03
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+ # Training Details
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+ - GPU used: 1x NVIDIA GeForce GTX 1080Ti
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+ - Training time: 21 hours and 5 minutes
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+
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  # Training Loss
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  ```
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  Step Training Loss
 
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  # Make input
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  input='Make a smart contract to create a whitelist of approved wallets. The purpose of this contract is to allow the DAO (Decentralized Autonomous Organization) to approve or revoke certain wallets, and also set a checker address for additional validation if needed. The current owner address can be changed by the current owner.'
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+ # Make prompt template
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  prompt = f"""### Instruction:
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  Use the Task below and the Input given to write the Response, which is a programming code that can solve the following Task:
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