End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cis-lmu/glot500-base](https://huggingface.co/cis-lmu/glot500-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2270
-- Precision: 0.9214
-- Recall: 0.9264
-- F1: 0.9239
-- Accuracy: 0.9350
+- Loss: 0.0731
+- Precision: 0.9788
+- Recall: 0.9808
+- F1: 0.9798
+- Accuracy: 0.9824
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.2317        | 1.0   | 700  | 0.2913          | 0.9000    | 0.9081 | 0.9040 | 0.9180   |
-| 0.3173        | 2.0   | 1400 | 0.2270          | 0.9214    | 0.9264 | 0.9239 | 0.9350   |
+| 0.1376        | 1.0   | 1250 | 0.0923          | 0.9746    | 0.9751 | 0.9749 | 0.9778   |
+| 0.0714        | 2.0   | 2500 | 0.0731          | 0.9788    | 0.9808 | 0.9798 | 0.9824   |
 
 
 ### Framework versions

runs/Feb16_17-08-06_464128ad0710/events.out.tfevents.1739725693.464128ad0710.855.3

@@ -1,3 +1,3 @@
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