Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.6732984293193718
+      value: 0.6670157068062827
       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 tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6733
+- accuracy: 0.6670
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.5403   | None       | 0     |
-| 0.5990   | 0.7037     | 0     |
-| 0.6      | 0.6363     | 1     |
-| 0.6199   | 0.5851     | 2     |
-| 0.6461   | 0.5424     | 3     |
-| 0.6691   | 0.4968     | 4     |
-| 0.6649   | 0.4435     | 5     |
-| 0.6743   | 0.4137     | 6     |
-| 0.6733   | 0.3862     | 7     |
+| 0.5948   | 0.7041     | 0     |
+| 0.6      | 0.6361     | 1     |
+| 0.6251   | 0.5760     | 2     |
+| 0.6545   | 0.5366     | 3     |
+| 0.6628   | 0.4968     | 4     |
+| 0.6545   | 0.4455     | 5     |
+| 0.6764   | 0.4160     | 6     |
+| 0.6670   | 0.3901     | 7     |
 
 
 ### 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:d75262e4693d6d99b19c9278b0627caac7387c5a129c5809fc12196027a8cdc9
+oid sha256:f4504ff44221ebd113831eafb91d64b436be512ea596e8750fb20fb9ae9e675a
 size 2523312