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: 1.2200
-- Accuracy: 0.9574
-- 1-f1: 0.0
-- 1-recall: 0.0
-- 1-precision: 0.0
-- Balanced Acc: 0.4983
+- Loss: 0.4309
+- Accuracy: 0.9738
+- 1-f1: 0.6
+- 1-recall: 0.5
+- 1-precision: 0.75
+- Balanced Acc: 0.7466
 
 ## Model description
 
@@ -55,9 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.1617        | 1.0   | 10   | 0.6218          | 0.9344   | 0.1667 | 0.1667   | 0.1667      | 0.5663       |
-| 0.083         | 2.0   | 20   | 0.8348          | 0.9279   | 0.0    | 0.0      | 0.0         | 0.4829       |
-| 0.1121        | 3.0   | 30   | 1.2200          | 0.9574   | 0.0    | 0.0      | 0.0         | 0.4983       |
+| 0.2745        | 1.0   | 10   | 0.2138          | 0.9410   | 0.5263 | 0.8333   | 0.3846      | 0.8894       |
+| 0.1799        | 2.0   | 20   | 0.2029          | 0.9475   | 0.5556 | 0.8333   | 0.4167      | 0.8928       |
+| 0.1444        | 3.0   | 30   | 0.3058          | 0.9738   | 0.6364 | 0.5833   | 0.7         | 0.7865       |
+| 0.0837        | 4.0   | 40   | 0.4309          | 0.9738   | 0.6    | 0.5      | 0.75        | 0.7466       |
 
 
 ### Framework versions

model.safetensors

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runs/Aug25_17-54-24_a63890c19f53/events.out.tfevents.1756144465.a63890c19f53.21078.1

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training_args.bin

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