Added config file for hparam tuning

examples/hparam_tuning/hparam_cfg.json

@@ -0,0 +1,40 @@
+{
+  "lr": {
+    "type": "float",
+    "low": 1e-6,
+    "high": 1e-2,
+    "log": true
+  },
+  "warmup_steps": {
+    "type": "int",
+    "low": 0,
+    "high": 1000
+  },
+  "optimizer": {
+    "type": "categorical",
+    "choices": [
+      "Adam",
+      "RAdam",
+      "Yogi"
+    ]
+  },
+  "scheduler": {
+    "type": "categorical",
+    "choices": [
+      "constantlr",
+      "warmupconstant",
+      "warmuplinear",
+      "warmupcosine",
+      "warmupcosinewithhardrestarts"
+    ]
+  },
+  "model_name": {
+    "type": "categorical",
+    "choices": [
+      "squeezebert/squeezebert-uncased"
+    ]
+  },
+  "batch_size": 32,
+  "epochs": 5,
+  "loss_fn": "OnlineContrastiveLoss"
+}

examples/hparam_tuning/hparam_tuning_from_config.py

@@ -48,7 +48,7 @@ def load_dataset():
 
 if __name__ == "__main__":
     hparam_config = HparamConfig.from_json(
-        "hparam_config.json"
+        "hparam_cfg.json"
     )
 
     trainer = SentenceTransformerHparamTrainer(