Training completed!

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1368
-- F1: 0.8611
+- Loss: 0.1358
+- F1: 0.8624
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2598        | 1.0   | 525  | 0.1519          | 0.8289 |
-| 0.1272        | 2.0   | 1050 | 0.1372          | 0.8486 |
-| 0.081         | 3.0   | 1575 | 0.1368          | 0.8611 |
+| 0.2589        | 1.0   | 525  | 0.1526          | 0.8310 |
+| 0.1255        | 2.0   | 1050 | 0.1357          | 0.8503 |
+| 0.0774        | 3.0   | 1575 | 0.1358          | 0.8624 |
 
 
 ### Framework versions
 
 - Transformers 4.42.4
 - Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Aug17_21-35-15_1bb6a0c6a1c3/events.out.tfevents.1723932234.1bb6a0c6a1c3.2224.0

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