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: 0.2440
-- Accuracy: 0.9164
-- F1: 0.9164
+- Loss: 0.2435
+- Accuracy: 0.9204
+- F1: 0.9204
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2715          | 0.9109   | 0.9108 |
-| 0.3029        | 2.0   | 626  | 0.2440          | 0.9164   | 0.9164 |
+| No log        | 1.0   | 313  | 0.2583          | 0.9108   | 0.9106 |
+| 0.3044        | 2.0   | 626  | 0.2435          | 0.9204   | 0.9204 |
 
 
 ### Framework versions

runs/Oct12_07-43-02_a753fa67c968/events.out.tfevents.1760254983.a753fa67c968.922.0

@@ -1,3 +1,3 @@
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+size 6401