Training completed!

README.md

@@ -18,8 +18,8 @@ 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: 0.1358
-- F1: 0.8603
+- Loss: 0.1372
+- F1: 0.8630
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2602        | 1.0   | 525  | 0.1544          | 0.8247 |
-| 0.1273        | 2.0   | 1050 | 0.1448          | 0.8407 |
-| 0.0794        | 3.0   | 1575 | 0.1358          | 0.8603 |
+| 0.2646        | 1.0   | 525  | 0.1494          | 0.8213 |
+| 0.1304        | 2.0   | 1050 | 0.1347          | 0.8519 |
+| 0.0811        | 3.0   | 1575 | 0.1372          | 0.8630 |
 
 
 ### Framework versions

runs/Nov16_11-28-13_ba930c9f8ed0/events.out.tfevents.1731756512.ba930c9f8ed0.4171.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6705
+oid sha256:d807d47bf35fc4d5b24f54c11aeb82378a2163f47d2906c8bfd71cf62dacb704
+size 7376