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 [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3940
-- Accuracy: 0.9684
-- 1-f1: 0.5641
-- 1-recall: 0.5789
-- 1-precision: 0.55
-- Balanced Acc: 0.7808
+- Loss: 0.4342
+- Accuracy: 0.8283
+- 1-f1: 0.5405
+- 1-recall: 0.8
+- 1-precision: 0.4082
+- Balanced Acc: 0.8162
 
 ## Model description
 
@@ -55,9 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.1539        | 1.0   | 17   | 0.1517          | 0.9665   | 0.64   | 0.8421   | 0.5161      | 0.9066       |
-| 0.2778        | 2.0   | 34   | 0.1861          | 0.9610   | 0.6182 | 0.8947   | 0.4722      | 0.9291       |
-| 0.3618        | 3.0   | 51   | 0.3940          | 0.9684   | 0.5641 | 0.5789   | 0.55        | 0.7808       |
+| 0.3996        | 1.0   | 7    | 0.4033          | 0.7576   | 0.4894 | 0.92     | 0.3333      | 0.8271       |
+| 0.3985        | 2.0   | 14   | 0.5162          | 0.8434   | 0.5373 | 0.72     | 0.4286      | 0.7906       |
+| 0.322         | 3.0   | 21   | 0.3941          | 0.7677   | 0.5106 | 0.96     | 0.3478      | 0.8499       |
+| 0.2893        | 4.0   | 28   | 0.4185          | 0.8333   | 0.5352 | 0.76     | 0.4130      | 0.8020       |
+| 0.2652        | 5.0   | 35   | 0.4342          | 0.8283   | 0.5405 | 0.8      | 0.4082      | 0.8162       |
 
 
 ### Framework versions

model.safetensors

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runs/Aug26_02-35-40_ebae452a3ad2/events.out.tfevents.1756175741.ebae452a3ad2.1874.3

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training_args.bin

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