Upload demo_model/server/training_config/training_config.yaml with huggingface_hub

demo_model/server/training_config/training_config.yaml

@@ -0,0 +1,70 @@
+{
+  "use_gpu": true,
+  "device": 0,
+  "early_stop": {
+    "patience": 0
+  },
+  "federate": {
+    "mode": "standalone",
+    "client_num": 2,
+    "total_round_num": 3,
+    "save_to": "llama3.ckpt"
+  },
+  "data": {
+    "root": "https://huggingface.co/datasets/Annie0430/test_fileIO",
+    "type": "custom_llm",
+    "splits": [
+      0.98,
+      0.01,
+      0.01
+    ],
+    "splitter": "iid"
+  },
+  "llm": {
+    "tok_len": 1000,
+    "chat": {
+      "max_len": 2000
+    },
+    "adapter": {
+      "use": true,
+      "args": [
+        {
+          "adapter_package": "peft",
+          "adapter_method": "lora",
+          "r": 8,
+          "lora_alpha": 16,
+          "lora_dropout": 0.05
+        }
+      ]
+    }
+  },
+  "dataloader": {
+    "batch_size": 1
+  },
+  "model": {
+    "type": "meta-llama/Llama-3.1-8B-Instruct@huggingface_llm"
+  },
+  "train": {
+    "local_update_steps": 3,
+    "batch_or_epoch": "batch",
+    "optimizer": {
+      "lr": 0.0003,
+      "weight_decay": 0.0
+    },
+    "is_enable_half": true
+  },
+  "criterion": {
+    "type": "CrossEntropyLoss"
+  },
+  "trainer": {
+    "type": "llmtrainer"
+  },
+  "eval": {
+    "freq": 50,
+    "metrics": [
+      "loss"
+    ],
+    "count_flops": false,
+    "best_res_update_round_wise_key": "test_avg_loss"
+  }
+}