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: 0.2479
-- Accuracy: 0.9189
-- F1: 0.9189
+- Loss: 0.3019
+- Accuracy: 0.9193
+- F1: 0.9193
 
 ## 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  | 0.2713          | 0.9117   | 0.9115 |
-| 0.3074        | 2.0   | 626  | 0.2479          | 0.9189   | 0.9189 |
+| No log        | 1.0   | 313  | 0.2786          | 0.9145   | 0.9142 |
+| 0.1372        | 2.0   | 626  | 0.3019          | 0.9193   | 0.9193 |
 
 
 ### Framework versions

runs/Sep17_06-37-10_b2243ceca678/events.out.tfevents.1758095335.b2243ceca678.1060.1

@@ -1,3 +1,3 @@
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+oid sha256:c3dd9685dda041955aebfcd999e61bacca53a2a9a6fea798a6ad4f575570e7c1
+size 6426