End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7083333333333334
+      value: 0.7156862745098039
     - name: F1
       type: f1
-      value: 0.8096
+      value: 0.8164556962025317
 ---
 
 <!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6034
-- Accuracy: 0.7083
-- F1: 0.8096
+- Loss: 0.6006
+- Accuracy: 0.7157
+- F1: 0.8165
 
 ## Model description
 
@@ -70,9 +70,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 230  | 0.6023          | 0.7010   | 0.8157 |
-| No log        | 2.0   | 460  | 0.6106          | 0.7108   | 0.8239 |
-| 0.609         | 3.0   | 690  | 0.6034          | 0.7083   | 0.8096 |
+| No log        | 1.0   | 230  | 0.6018          | 0.7034   | 0.8186 |
+| No log        | 2.0   | 460  | 0.6034          | 0.7059   | 0.8220 |
+| 0.6078        | 3.0   | 690  | 0.6006          | 0.7157   | 0.8165 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b9c7915bcd3a98842350c4d20e3bdc8d6e1acf44abb5d4253d04358e3920f0e
+oid sha256:2f0f649f7175605ad8ee23563c7d94735829b39a03d796bd6950ee5b90165c32
 size 267832560