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: 0.5272
-- Accuracy: 0.9190
-- 1-f1: 0.3415
-- 1-recall: 0.4
-- 1-precision: 0.2979
-- Balanced Acc: 0.6739
+- Loss: 0.5159
+- Accuracy: 0.8955
+- 1-f1: 0.3855
+- 1-recall: 0.5517
+- 1-precision: 0.2963
+- Balanced Acc: 0.7345
 
 ## Model description
 
@@ -55,12 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.6292        | 1.0   | 21   | 0.5845          | 0.9475   | 0.0    | 0.0      | 0.0         | 0.5          |
-| 0.5461        | 2.0   | 42   | 0.5238          | 0.9475   | 0.0    | 0.0      | 0.0         | 0.5          |
-| 0.5844        | 3.0   | 63   | 0.4760          | 0.8411   | 0.2838 | 0.6      | 0.1858      | 0.7272       |
-| 0.434         | 4.0   | 84   | 0.4533          | 0.8351   | 0.2857 | 0.6286   | 0.1849      | 0.7375       |
-| 0.3681        | 5.0   | 105  | 0.4649          | 0.8501   | 0.2958 | 0.6      | 0.1963      | 0.7320       |
-| 0.4453        | 6.0   | 126  | 0.5272          | 0.9190   | 0.3415 | 0.4      | 0.2979      | 0.6739       |
+| 0.4244        | 1.0   | 16   | 0.4818          | 0.9098   | 0.45   | 0.6207   | 0.3529      | 0.7744       |
+| 0.2671        | 2.0   | 32   | 0.6256          | 0.9385   | 0.4828 | 0.4828   | 0.4828      | 0.7250       |
+| 0.1728        | 3.0   | 48   | 0.5159          | 0.8955   | 0.3855 | 0.5517   | 0.2963      | 0.7345       |
 
 
 ### Framework versions

model.safetensors

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runs/Aug25_20-19-14_9cbfd459869c/events.out.tfevents.1756153155.9cbfd459869c.1551.3

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training_args.bin

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