Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9302631578947368
+      value: 0.9303947368421053
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [arianpasquali/distilbert-base-multilingual-cased-toxicity](https://huggingface.co/arianpasquali/distilbert-base-multilingual-cased-toxicity) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9303
+- accuracy: 0.9304
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2361   | None       | 0     |
-| 0.9178   | 0.2811     | 0     |
-| 0.9209   | 0.2175     | 1     |
-| 0.9284   | 0.1937     | 2     |
-| 0.9303   | 0.1761     | 3     |
+| 0.2609   | None       | 0     |
+| 0.9176   | 0.2806     | 0     |
+| 0.9224   | 0.2170     | 1     |
+| 0.9283   | 0.1933     | 2     |
+| 0.9304   | 0.1761     | 3     |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bca34c022959f4f352d9d962e13b368b2330098987b77daa2515b3a044c14e11
+oid sha256:c9fd300658362cda5a380372559e8d61f0ac2d8a019552aa1a0d827b5d42d416
 size 2452208