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: 0.2456
-- Accuracy: 0.9212
-- F1: 0.9212
+- Loss: 0.2427
+- Accuracy: 0.9214
+- F1: 0.9215
 
 ## 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  | 0.2567          | 0.9121   | 0.9119 |
-| 0.3011        | 2.0   | 626  | 0.2456          | 0.9212   | 0.9212 |
+| No log        | 1.0   | 313  | 0.2579          | 0.9120   | 0.9118 |
+| 0.2959        | 2.0   | 626  | 0.2427          | 0.9214   | 0.9215 |
 
 
 ### Framework versions

runs/Sep29_18-19-56_b2c988a684d8/events.out.tfevents.1759170023.b2c988a684d8.436.0

@@ -1,3 +1,3 @@
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+size 6330