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: 0.0010
-- Accuracy: 0.9993
+- Loss: 0.0078
+- Accuracy: 0.9981
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 88   | 0.0088          | 0.9993   |
-| No log        | 2.0   | 176  | 0.0010          | 0.9993   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9924 | 98   | 0.0068          | 0.9981   |
+| No log        | 1.9848 | 196  | 0.0078          | 0.9981   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8605299cbe1e7c8a704e69a55c58b2943aabf78d618e64ee7c4c09991bd0968
+oid sha256:5b95f03e2791556b6fcbbf9d1d0a041b21c1f0ba6503bd0f19c382e65bd5b1ee
 size 437958648