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: 0.6808
-- Accuracy: 0.9741
-- 1-f1: 0.45
-- 1-recall: 0.3103
-- 1-precision: 0.8182
-- Balanced Acc: 0.6540
+- Loss: 0.5101
+- Accuracy: 0.9752
+- 1-f1: 0.6038
+- 1-recall: 0.5517
+- 1-precision: 0.6667
+- Balanced Acc: 0.7710
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.2962        | 1.0   | 27   | 0.3260          | 0.9729   | 0.5490 | 0.4828   | 0.6364      | 0.7365       |
-| 0.2577        | 2.0   | 54   | 0.3216          | 0.9658   | 0.5085 | 0.5172   | 0.5         | 0.7495       |
-| 0.2299        | 3.0   | 81   | 0.4627          | 0.9741   | 0.5417 | 0.4483   | 0.6842      | 0.7205       |
-| 0.0518        | 4.0   | 108  | 0.6808          | 0.9741   | 0.45   | 0.3103   | 0.8182      | 0.6540       |
+| 0.312         | 1.0   | 27   | 0.3621          | 0.9717   | 0.4783 | 0.3793   | 0.6471      | 0.6860       |
+| 0.292         | 2.0   | 54   | 0.2757          | 0.9552   | 0.5128 | 0.6897   | 0.4082      | 0.8271       |
+| 0.13          | 3.0   | 81   | 0.3179          | 0.9682   | 0.5846 | 0.6552   | 0.5278      | 0.8172       |
+| 0.0091        | 4.0   | 108  | 0.5101          | 0.9752   | 0.6038 | 0.5517   | 0.6667      | 0.7710       |
 
 
 ### Framework versions

model.safetensors

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runs/Aug25_19-33-12_2e8e96a3dcb3/events.out.tfevents.1756150393.2e8e96a3dcb3.2911.10

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training_args.bin

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