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: 0.3005
-- Accuracy: 0.9225
-- F1: 0.9225
+- Loss: 0.3160
+- Accuracy: 0.9203
+- F1: 0.9202
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.3555        | 1.0   | 1250 | 0.2979          | 0.9079   | 0.9077 |
-| 0.2061        | 2.0   | 2500 | 0.3005          | 0.9225   | 0.9225 |
+| 0.3508        | 1.0   | 1250 | 0.3206          | 0.9070   | 0.9068 |
+| 0.2061        | 2.0   | 2500 | 0.3160          | 0.9203   | 0.9202 |
 
 
 ### Framework versions

runs/Sep23_09-50-54_36245f78f635/events.out.tfevents.1758621063.36245f78f635.216.0

@@ -1,3 +1,3 @@
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-size 6482
+oid sha256:9e7022a3946de4a2db4e408a8ba727ab24a07c76289a49092b3158a4cbf05c0b
+size 7205