fine-tuning-Phi2-with-webglm-qa-with-lora

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5317
+- Loss: 0.5311
 
 ## Model description
 
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.4146        | 0.5   | 100  | 0.5317          |
+| 2.4092        | 0.5   | 100  | 0.5311          |
 
 
 ### Framework versions

adapter_config.json

@@ -19,12 +19,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
-    "q_proj",
-    "fc1",
     "dense",
-    "fc2",
-    "v_proj"
+    "fc1",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "fc2"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:147636a4c84a9f07ce58fb1cf8d23e0ff1c1de43c6481558f064779e66dcbd24
+oid sha256:e596aa8aac7400f21d45616ccff707acdf51e1881bf2272b94cd76781abe15e1
 size 94422368