Model save

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.6168
-- Accuracy: 12150.1540
+- Loss: 7.5890
+- Accuracy: 9215.8778
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy   |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|
-| No log        | 1.0   | 1    | 9.3515          | 12566.1719 |
-| No log        | 2.0   | 2    | 8.7099          | 8868.5614  |
-| No log        | 3.0   | 3    | 8.2203          | 8760.7341  |
-| No log        | 4.0   | 4    | 7.8083          | 9734.8913  |
-| No log        | 5.0   | 5    | 7.6168          | 12150.1540 |
+| No log        | 1.0   | 1    | 9.3613          | 12607.3874 |
+| No log        | 2.0   | 2    | 8.7248          | 11916.9648 |
+| No log        | 3.0   | 3    | 8.1933          | 8938.1332  |
+| No log        | 4.0   | 4    | 7.7762          | 9565.8911  |
+| No log        | 5.0   | 5    | 7.5890          | 9215.8778  |
 
 
 ### Framework versions

adapter_1/adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:14e3d9bb3fd82c4e5840c22a54850c0cb098502f96c421f5e3b10019cff8f796
+oid sha256:8911ccd724633ac39e7fdc93d4b10468c592b6ac8217fe7a5c0a05e9ed8771ad
 size 9443984

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e86b3ed6ed708a77a45b5b7f708336a7ebef0208b3b9ca84d9945046e602450
+oid sha256:69e57b80d9673a46fc6604b2ac4ddee362260c9ae208a1ce96a3b91504446474
 size 9443984