deberta-v3-small-autextification-adapter

README.md

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the autextification2023 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6936
+- Loss: 0.6941
 - Accuracy: 0.4874
 
 ## Model description
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6967        | 1.0   | 3808 | 0.6931          | 0.4969   |
+| 0.6969        | 1.0   | 3808 | 0.6930          | 0.5034   |
 
 
 ### Framework versions

adapter_config.json

@@ -16,8 +16,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "value_proj",
-    "query_proj"
+    "query_proj",
+    "value_proj"
   ],
   "task_type": "SEQ_CLS"
 }

adapter_model.safetensors

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