Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9160526315789473
+      value: 0.9143421052631578
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [robertou2/roberta-base-bne-finetuned-amazon_reviews_multi](https://huggingface.co/robertou2/roberta-base-bne-finetuned-amazon_reviews_multi) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9161
+- accuracy: 0.9143
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2333   | None       | 0     |
-| 0.8988   | 0.3401     | 0     |
-| 0.9116   | 0.2503     | 1     |
-| 0.9153   | 0.2189     | 2     |
-| 0.9161   | 0.1974     | 3     |
+| 0.2472   | None       | 0     |
+| 0.8979   | 0.3406     | 0     |
+| 0.9076   | 0.2515     | 1     |
+| 0.9113   | 0.2199     | 2     |
+| 0.9143   | 0.1983     | 3     |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9d5b580bb751e7a66373897b9d0410b4f79348368a4e4b3d98b3ef61540ecb6
+oid sha256:7e3e8b9470c4d8e41e3dc3397af9a24ae05c4456349b636256cb5e2023d0b6da
 size 2529464