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| { | |
| "training_configs": { | |
| "quick_test": { | |
| "num_samples": 100, | |
| "max_steps": 10, | |
| "description": "Quick validation run for testing" | |
| }, | |
| "development": { | |
| "num_samples": 1000, | |
| "max_steps": 60, | |
| "description": "Standard development training" | |
| }, | |
| "production": { | |
| "num_samples": 5000, | |
| "max_steps": 200, | |
| "deploy_threshold": 0.03, | |
| "description": "Full production training run" | |
| }, | |
| "experiment": { | |
| "num_samples": 2000, | |
| "max_steps": 100, | |
| "model_name": "microsoft/trocr-base-arabic", | |
| "experiment_name": "trocr-comparison", | |
| "description": "Experimental model comparison" | |
| } | |
| }, | |
| "model_options": { | |
| "deepseek_ocr": "unsloth/DeepSeek-OCR", | |
| "trocr_arabic": "microsoft/trocr-base-arabic", | |
| "custom_model": "your-org/custom-arabic-ocr" | |
| }, | |
| "performance_thresholds": { | |
| "strict": 0.03, | |
| "standard": 0.05, | |
| "lenient": 0.08, | |
| "development": 0.10 | |
| }, | |
| "cost_estimates": { | |
| "quick_test": "$0.02", | |
| "development": "$0.10", | |
| "production": "$0.30", | |
| "note": "Based on L4 GPU at $0.60/hour" | |
| } | |
| } |