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1.3 KiB
JSON
1 line
1.3 KiB
JSON
{"repo": "2omegaxv/wayf", "files": {"configs/classifier_baseline_config.yaml": {"b40b2c720ce5465aa619680caf170c93895141dd": {"t": 1785746854.088251, "n": 1044, "h": "bd1884ee4f51130c", "c": "# LLM baseline config (source-language classification)\n\n# Experiment Control\n# Change these values to switch datasets and models easily\nexperiment:\n translation_model: \"DeepSeek-V3.2\" # The model that generated the translations (Folder name in new_data/translated)\n pool: \"c\" # The data pool to evaluate (a, b, or c)\n\npaths:\n output_dir: # can specify output directory here, or it will be auto-resolved\n\n# LLM Baseline Model Configuration\nllm:\n base_url: \"https://llmapi.paratera.com\"\n model_name: \"DeepSeek-V3.2\" # The model acting as the classifier\n\n # Prefer env vars for secrets.\n # Example:\n # export API_KEYS=\"sk-... ,sk-...\"\n api_keys_env: \"API_KEYS\"\n # or you can list them here (not recommended for security reasons)\n api_keys:\n\n num_workers: 800\n\n # Retry policy\n max_attempts: 4\n max_retries: 5\n temperature: 0.0\n top_p: 1.0\n max_tokens: 1024\n\nprompt:\n allowed_labels:\n - chinese\n - english\n - french\n - german\n - japanese\n - korean\n - russian\n - spanish\n"}}}} |