Final_Assignment_Template

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Refactor SFTTrainer configuration in train.py to remove data_collator from the SFT config, preventing duplication and enhancing clarity in trainer setup.

b21080c unverified 10 days ago

.vscode
Refactor main_v2.py to update task formatting for dual answer requests, enhancing response structure. Implement error handling for JSON parsing in agent results, ensuring robust output. Add unit tests in test_questions.py to validate succinct answer accuracy against expected values. Remove unused extract_final_answer utility from utils.py, streamlining the codebase. 15 days ago
agents
Enhance agent functionality in main_v2.py by adding WikipediaSearchTool and updating DuckDuckGoSearchTool and VisitWebpageTool parameters. Modify agent initialization to accommodate new tools and increase max results and output length. Update requirements.txt to include Wikipedia-API dependency. Refactor imports for better organization across agent modules. 17 days ago
conf
Refactor train.py to utilize a comprehensive configuration structure from config.yaml, enhancing model loading, dataset handling, and trainer setup. This update centralizes parameters for model, PEFT, dataset, and training settings, improving maintainability and flexibility. 10 days ago
final_model
Add final model files including adapter configuration, model weights, tokenizer settings, and README documentation for SmolLM2-135M. This commit establishes the foundational structure for model deployment and usage. 10 days ago
notebooks
Remove redundant HF_TOKEN assignment from bonus-unit1 notebook to streamline code and enhance security practices. 14 days ago
prompts
Refactor main_v2.py to remove unused tools and agents, replacing them with the new SmartSearchTool for improved search functionality. Update prompt template loading to use the modified YAML file. Clean up imports and enhance overall code organization for better maintainability. 16 days ago
tools
Refactor main_v2.py to update task formatting for dual answer requests, enhancing response structure. Implement error handling for JSON parsing in agent results, ensuring robust output. Add unit tests in test_questions.py to validate succinct answer accuracy against expected values. Remove unused extract_final_answer utility from utils.py, streamlining the codebase. 15 days ago
.env.example

147 Bytes

Add .env.example for API configuration and update .gitignore to exclude .env files. Refactor app.py to implement BasicAgent class, replacing AgentRunner, and improve error handling and logging. Remove unused configuration and graph modules to streamline the codebase. 19 days ago
.gitattributes

1.52 kB

initial commit 24 days ago
.gitignore

90 Bytes

Update .gitignore to exclude log files, enhancing project cleanliness and preventing unnecessary file tracking. 13 days ago
README.md

400 Bytes

Update README.md 22 days ago
app.py

9.78 kB

Refactor main_v2.py to update task formatting for dual answer requests, enhancing response structure. Implement error handling for JSON parsing in agent results, ensuring robust output. Add unit tests in test_questions.py to validate succinct answer accuracy against expected values. Remove unused extract_final_answer utility from utils.py, streamlining the codebase. 15 days ago
main.py

11.4 kB

Refactor main_v2.py to update task formatting for dual answer requests, enhancing response structure. Implement error handling for JSON parsing in agent results, ensuring robust output. Add unit tests in test_questions.py to validate succinct answer accuracy against expected values. Remove unused extract_final_answer utility from utils.py, streamlining the codebase. 15 days ago
main_v2.py

4.71 kB

Refactor imports in main_v2.py to include SmartSearchTool, enhance code organization in model_factory.py by removing unnecessary whitespace, and improve formatting in test_questions.py for better readability and consistency. 13 days ago
model_factory.py

1.22 kB

Refactor imports in main_v2.py to include SmartSearchTool, enhance code organization in model_factory.py by removing unnecessary whitespace, and improve formatting in test_questions.py for better readability and consistency. 13 days ago
requirements.txt
743 Bytes

Add hydra integration and configuration support in train.py, allowing dynamic model loading and training control. Update requirements.txt to include hydra-core dependency and introduce config.yaml for model parameters and training settings. 10 days ago
test_questions.py

1.39 kB

Refactor imports in main_v2.py to include SmartSearchTool, enhance code organization in model_factory.py by removing unnecessary whitespace, and improve formatting in test_questions.py for better readability and consistency. 13 days ago
train.py
8.59 kB

Refactor SFTTrainer configuration in train.py to remove data_collator from the SFT config, preventing duplication and enhancing clarity in trainer setup. 10 days ago