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: 0.4355
-- Accuracy: 0.9403
-- 1-f1: 0.5797
-- 1-recall: 0.7143
-- 1-precision: 0.4878
-- Balanced Acc: 0.8342
+- Loss: 0.3418
+- Accuracy: 0.8990
+- 1-f1: 0.5
+- 1-recall: 0.9545
+- 1-precision: 0.3387
+- Balanced Acc: 0.9252
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
-| 0.1458        | 1.0   | 16   | 0.3032          | 0.9321   | 0.5479 | 0.7143   | 0.4444      | 0.8299       |
-| 0.2238        | 2.0   | 32   | 0.3049          | 0.9259   | 0.5610 | 0.8214   | 0.4259      | 0.8769       |
-| 0.0706        | 3.0   | 48   | 0.4355          | 0.9403   | 0.5797 | 0.7143   | 0.4878      | 0.8342       |
+| 0.5009        | 1.0   | 13   | 0.3868          | 0.9591   | 0.5143 | 0.4091   | 0.6923      | 0.6995       |
+| 0.4723        | 2.0   | 26   | 0.3205          | 0.9423   | 0.5    | 0.5455   | 0.4615      | 0.7550       |
+| 0.4202        | 3.0   | 39   | 0.3094          | 0.8413   | 0.4    | 1.0      | 0.25        | 0.9162       |
+| 0.9025        | 4.0   | 52   | 0.8023          | 0.9495   | 0.2222 | 0.1364   | 0.6         | 0.5656       |
+| 0.3734        | 5.0   | 65   | 0.3418          | 0.8990   | 0.5    | 0.9545   | 0.3387      | 0.9252       |
 
 
 ### Framework versions

model.safetensors

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runs/Aug26_02-31-27_ebae452a3ad2/events.out.tfevents.1756175488.ebae452a3ad2.1874.1

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training_args.bin

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