Add adapters/adapter_config.json

adapters/adapter_config.json

@@ -0,0 +1,47 @@
+{
+    "adapter_path": "trail-nexus-ai/models/qwen3-0.6b-routing-specialist/adapters",
+    "batch_size": 2,
+    "config": "trail-nexus-ai/models/qwen3-0.6b-routing-specialist/lora_config.yaml",
+    "data": "trail-nexus-ai/training/data/routing_sft_v1",
+    "fine_tune_type": "lora",
+    "grad_accumulation_steps": 2,
+    "grad_checkpoint": true,
+    "iters": 4000,
+    "learning_rate": 5e-05,
+    "lora_parameters": {
+        "alpha": 32,
+        "dropout": 0.05,
+        "keys": [
+            "self_attn.q_proj",
+            "self_attn.v_proj",
+            "self_attn.k_proj",
+            "self_attn.o_proj"
+        ],
+        "rank": 16,
+        "scale": 1.0
+    },
+    "lr_schedule": null,
+    "mask_prompt": false,
+    "max_seq_length": 2048,
+    "model": "/Users/justinraj/.cache/huggingface/hub/models--Qwen--Qwen3-0.6B/snapshots/c1899de289a04d12100db370d81485cdf75e47ca",
+    "num_layers": 16,
+    "optimizer": "adam",
+    "optimizer_config": {
+        "adam": {},
+        "adamw": {},
+        "muon": {},
+        "sgd": {},
+        "adafactor": {}
+    },
+    "project_name": null,
+    "report_to": null,
+    "resume_adapter_file": null,
+    "save_every": 500,
+    "seed": 42,
+    "steps_per_eval": 200,
+    "steps_per_report": 10,
+    "test": false,
+    "test_batches": 500,
+    "train": true,
+    "val_batches": 25
+}