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: 0.2469
-- Accuracy: 0.9192
-- F1: 0.9191
+- Loss: 0.2450
+- Accuracy: 0.92
+- F1: 0.9200
 
 ## 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  | 0.2670          | 0.9132   | 0.9130 |
-| 0.3073        | 2.0   | 626  | 0.2469          | 0.9192   | 0.9191 |
+| No log        | 1.0   | 313  | 0.2567          | 0.9137   | 0.9136 |
+| 0.3011        | 2.0   | 626  | 0.2450          | 0.92     | 0.9200 |
 
 
 ### Framework versions

runs/Sep16_10-02-56_ac1804cbc333/events.out.tfevents.1758017008.ac1804cbc333.350.2

@@ -1,3 +1,3 @@
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+size 6371