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-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1915
-- Accuracy: 0.939
+- Loss: 0.1721
+- Accuracy: 0.942
 
 ## Model description
 
@@ -44,16 +44,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 250  | 0.5079          | 0.833    |
-| 0.7741        | 2.0   | 500  | 0.2768          | 0.913    |
-| 0.7741        | 3.0   | 750  | 0.2100          | 0.929    |
-| 0.2069        | 4.0   | 1000 | 0.1915          | 0.939    |
+| No log        | 1.0   | 250  | 0.4374          | 0.86     |
+| 0.7097        | 2.0   | 500  | 0.2582          | 0.9195   |
+| 0.7097        | 3.0   | 750  | 0.2047          | 0.9345   |
+| 0.1878        | 4.0   | 1000 | 0.1667          | 0.9385   |
+| 0.1878        | 5.0   | 1250 | 0.1861          | 0.935    |
+| 0.1306        | 6.0   | 1500 | 0.1871          | 0.9415   |
+| 0.1306        | 7.0   | 1750 | 0.1720          | 0.943    |
+| 0.1035        | 8.0   | 2000 | 0.1696          | 0.9425   |
+| 0.1035        | 9.0   | 2250 | 0.1706          | 0.9415   |
+| 0.0851        | 10.0  | 2500 | 0.1721          | 0.942    |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:95fedfd3378bbceb8ca48f6d2d2b40aaab172bb22d19ddb2a101a1ceb418f9dc
+oid sha256:884e77d2bc6c3b3c2662a873ace5286084a8b973caa74975886b049a523aeb30
 size 3184088