Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6915
-- Accuracy: 0.6749
+- Loss: 1.7192
+- Accuracy: 0.6736
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0686        | 0.0   | 5    | 1.7577          | 0.6687   |
-| 1.8893        | 0.0   | 10   | 1.6962          | 0.6743   |
+| 2.068         | 0.0   | 5    | 1.7758          | 0.6650   |
+| 1.9159        | 0.0   | 10   | 1.7192          | 0.6736   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,11 @@
 {
   "_name_or_path": "bert-base-uncased",
+  "adapters": {
+    "adapters": {},
+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
   "architectures": [
     "BertForMaskedLM"
   ],

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:04893f4b153816b6dd7eb2168dbad4ba669ff4323be811527864994d2e1b2a33
+oid sha256:7702735369fd181b794db2f3ac6829731fdd8c096b1a41e51ecc6c7b14d13773
 size 438080896