Training completed!

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](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3193
-- Accuracy: 0.908
-- F1: 0.9080
+- Loss: 0.3113
+- Accuracy: 0.9288
+- F1: 0.9288
 
 ## Model description
 
@@ -45,14 +45,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1636        | 1.0   | 157  | 0.2724          | 0.906    | 0.9060 |
-| 0.1058        | 2.0   | 314  | 0.3193          | 0.908    | 0.9080 |
+| 0.2745        | 1.0   | 625  | 0.2015          | 0.9216   | 0.9215 |
+| 0.1544        | 2.0   | 1250 | 0.1911          | 0.9264   | 0.9264 |
+| 0.0957        | 3.0   | 1875 | 0.2519          | 0.9232   | 0.9232 |
+| 0.0555        | 4.0   | 2500 | 0.2895          | 0.9288   | 0.9288 |
+| 0.0356        | 5.0   | 3125 | 0.3113          | 0.9288   | 0.9288 |
 
 
 ### Framework versions

model.safetensors

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runs/Mar26_11-50-55_33d8051d761c/events.out.tfevents.1711453858.33d8051d761c.354.0

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