Add training configuration

training_config.json

@@ -0,0 +1,55 @@
+{
+  "model_name": "qwen-image-silicon-photonics",
+  "base_model": "Qwen/Qwen-Image",
+  "learning_rate": 1e-05,
+  "batch_size": 1,
+  "num_epochs": 3,
+  "resolution": 1024,
+  "max_train_samples": 146,
+  "training_timestamp": "2025-09-24T14:22:58.845625",
+  "training_approach": "lightweight_framework",
+  "inference_parameters": {
+    "num_inference_steps": 50,
+    "guidance_scale": 7.5,
+    "width": 1024,
+    "height": 1024
+  },
+  "dataset_info": {
+    "total_samples": 146,
+    "categories": [
+      "grating_coupler",
+      "quantum_photonics",
+      "polarization",
+      "measurements",
+      "electronics_codesign",
+      "photodetector",
+      "opa_lidar",
+      "splitter",
+      "reliability",
+      "link_performance",
+      "edge_coupler",
+      "silicon_waveguide",
+      "packaging",
+      "wafer_level",
+      "sensing",
+      "ring_resonator",
+      "frequency_comb",
+      "materials_integration",
+      "nonlinear_optics",
+      "wdm",
+      "bragg_grating",
+      "metamaterials_plasmonics",
+      "spectrometers",
+      "interferometer",
+      "laser",
+      "integrated_circuit",
+      "photonic_crystal",
+      "switch_voa",
+      "waveguide_crossing",
+      "eda_pdk",
+      "modulator",
+      "thermal_tuning"
+    ],
+    "prompt_source": "silicon_photonics_image_training/datasets/silicon_photonics/captions/training_prompts.json"
+  }
+}