End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.93488
+      value: 0.93272
 ---
 
 <!-- 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 [bert-base-cased](https://huggingface.co/bert-base-cased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2557
-- Accuracy: 0.9349
+- Loss: 0.1926
+- Accuracy: 0.9327
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1553        | 1.0   | 782  | 0.2026          | 0.9299   |
-| 0.0731        | 2.0   | 1564 | 0.2557          | 0.9349   |
+| 0.287         | 1.0   | 782  | 0.2120          | 0.9234   |
+| 0.1344        | 2.0   | 1564 | 0.1926          | 0.9327   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec04_01-11-25_d92942219186/events.out.tfevents.1701652294.d92942219186.47.0

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training_args.bin

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