Model save

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8406862745098039
+      value: 0.8455882352941176
     - name: F1
       type: f1
-      value: 0.888888888888889
+      value: 0.8930390492359932
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6973
-- Accuracy: 0.8407
-- F1: 0.8889
+- Loss: 0.6320
+- Accuracy: 0.8456
+- F1: 0.8930
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5483        | 1.09  | 500  | 0.4159          | 0.8554   | 0.8967 |
-| 0.3471        | 2.18  | 1000 | 0.6973          | 0.8407   | 0.8889 |
+| 0.5255        | 1.09  | 500  | 0.4371          | 0.8431   | 0.8885 |
+| 0.3452        | 2.18  | 1000 | 0.6320          | 0.8456   | 0.8930 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47e2ca1580dae8c04b60ad0253bc8ded6ec51b8d0f9a5edb09381a9c42cb5dd0
+oid sha256:3c9ffc84cbaaf4bb1b74461ef4fd4e194f1a7e4a8ca1377c610ff381d455a370
 size 328515505