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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2327
-- Accuracy: 0.9251
-- F1: 0.9251
+- Loss: 0.2450
+- Accuracy: 0.9223
+- F1: 0.9223
 
 ## 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  | 0.2327          | 0.9202   | 0.9200 |
-| 0.2837        | 2.0   | 626  | 0.2327          | 0.9251   | 0.9251 |
+| No log        | 1.0   | 313  | 0.2509          | 0.9133   | 0.9135 |
+| 0.2917        | 2.0   | 626  | 0.2450          | 0.9223   | 0.9223 |
 
 
 ### Framework versions

runs/Oct02_14-35-39_7c8498141716/events.out.tfevents.1759415741.7c8498141716.1353.4

@@ -1,3 +1,3 @@
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+size 6486