End of training

README.md

@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3712
-- Accuracy: 0.9643
-- 1-f1: 0.6545
-- 1-recall: 0.72
-- 1-precision: 0.6
-- Balanced Acc: 0.8482
+- Loss: 0.4058
+- Accuracy: 0.9662
+- 1-f1: 0.64
+- 1-recall: 0.64
+- 1-precision: 0.64
+- Balanced Acc: 0.8111
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.2072        | 1.0   | 17   | 0.2045          | 0.9530   | 0.6377 | 0.88     | 0.5         | 0.9183       |
-| 0.0666        | 2.0   | 34   | 0.3178          | 0.9699   | 0.6923 | 0.72     | 0.6667      | 0.8511       |
-| 0.0219        | 3.0   | 51   | 0.3712          | 0.9643   | 0.6545 | 0.72     | 0.6         | 0.8482       |
+| 0.159         | 1.0   | 17   | 0.2110          | 0.9568   | 0.5965 | 0.68     | 0.5312      | 0.8252       |
+| 0.0724        | 2.0   | 34   | 0.2200          | 0.9605   | 0.6316 | 0.72     | 0.5625      | 0.8462       |
+| 0.0317        | 3.0   | 51   | 0.4058          | 0.9662   | 0.64   | 0.64     | 0.64        | 0.8111       |
 
 
 ### Framework versions

model.safetensors

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runs/Aug25_19-35-42_2e8e96a3dcb3/events.out.tfevents.1756150543.2e8e96a3dcb3.2911.11

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training_args.bin

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