End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.2458
-- Accuracy: 0.9208
-- F1: 0.9208
+- Loss: 0.2449
+- Accuracy: 0.9201
+- F1: 0.9201
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2702          | 0.9134   | 0.9133 |
-| 0.3056        | 2.0   | 626  | 0.2458          | 0.9208   | 0.9208 |
+| No log        | 1.0   | 313  | 0.2567          | 0.9138   | 0.9137 |
+| 0.3011        | 2.0   | 626  | 0.2449          | 0.9201   | 0.9201 |
 
 
 ### Framework versions
 
-- Transformers 4.56.1
+- Transformers 4.56.2
 - Pytorch 2.8.0+cu126
-- Datasets 4.0.0
+- Datasets 4.1.1
 - Tokenizers 0.22.0

runs/Sep22_04-41-02_22b6fba130dd/events.out.tfevents.1758516068.22b6fba130dd.1502.0

@@ -1,3 +1,3 @@
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