Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9393421052631579
+      value: 0.94
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dapang/distilroberta-base-mic-sym](https://huggingface.co/dapang/distilroberta-base-mic-sym) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9393
+- accuracy: 0.94
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2382   | None       | 0     |
-| 0.9299   | 0.2553     | 0     |
-| 0.9330   | 0.2042     | 1     |
-| 0.9372   | 0.1867     | 2     |
-| 0.9393   | 0.1760     | 3     |
+| 0.2658   | None       | 0     |
+| 0.9283   | 0.2554     | 0     |
+| 0.9346   | 0.2035     | 1     |
+| 0.9384   | 0.1865     | 2     |
+| 0.94     | 0.1754     | 3     |
 
 
 ### Framework versions

adapter_config.json

@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "query",
-    "value"
+    "value",
+    "query"
   ],
   "task_type": "SEQ_CLS",
   "use_rslora": false

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:261691992078b8711c4bf9a6c033b4b8f0d1f8ccbbe100df63ef1944c069a2d7
+oid sha256:08e5b9f0f9bc2c951289a5b3eeb1187585af9c43ebfb68cbba6076b46142d9f7
 size 2452296