End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.92844
+      value: 0.92772
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1907
-- Accuracy: 0.9284
+- Loss: 0.2473
+- Accuracy: 0.9277
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 391  | 0.1976          | 0.9228   |
-| 0.2473        | 2.0   | 782  | 0.1907          | 0.9284   |
+| No log        | 1.0   | 391  | 0.2318          | 0.9226   |
+| 0.1113        | 2.0   | 782  | 0.2473          | 0.9277   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3ff10a2f40256d55e179da9e403ee1fbc9d704c42b5efd1744ba276c9f8684a
+oid sha256:896e6524f2f7053d08c76efa64c9f143d2f9d02c199344a21db90b21fb9a2a51
 size 267832560