Training completed

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3039
-- Accuracy: 0.8861
+- Loss: 1.2804
+- Accuracy: 0.8845
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.3463        | 1.0   | 318  | 3.3915          | 0.7232   |
-| 2.7974        | 2.0   | 636  | 2.1011          | 0.8365   |
-| 1.8381        | 3.0   | 954  | 1.4807          | 0.8777   |
-| 1.4231        | 4.0   | 1272 | 1.3039          | 0.8861   |
+| 4.3292        | 1.0   | 318  | 3.3607          | 0.7158   |
+| 2.7628        | 2.0   | 636  | 2.0645          | 0.8416   |
+| 1.8038        | 3.0   | 954  | 1.4528          | 0.8761   |
+| 1.3955        | 4.0   | 1272 | 1.2804          | 0.8845   |
 
 
 ### Framework versions

runs/Nov28_03-01-56_f2a8a672a307/events.out.tfevents.1732762949.f2a8a672a307.400.0

@@ -1,3 +1,3 @@
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+size 15096