End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7806
-- Accuracy: 0.9044
-- F1: 0.9363
+- Loss: 0.9435
+- Accuracy: 0.9067
+- F1: 0.9381
 
 ## Model description
 
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.0           | 1.0   | 254  | 0.6212          | 0.9      | 0.9349 |
-| 0.0249        | 2.0   | 508  | 0.6941          | 0.9133   | 0.9427 |
-| 0.0           | 3.0   | 762  | 0.6842          | 0.9156   | 0.9436 |
-| 0.0113        | 4.0   | 1016 | 0.7806          | 0.9044   | 0.9363 |
+| 0.0445        | 1.0   | 254  | 0.9228          | 0.9044   | 0.9367 |
+| 0.0           | 2.0   | 508  | 0.9299          | 0.9022   | 0.9349 |
+| 0.0001        | 3.0   | 762  | 0.9626          | 0.9022   | 0.9349 |
+| 0.0162        | 4.0   | 1016 | 0.9435          | 0.9067   | 0.9381 |
 
 
 ### Framework versions

runs/Jun17_04-59-11_a749722ad388/events.out.tfevents.1718600980.a749722ad388.519.18

@@ -0,0 +1,3 @@
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+size 457