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: 0.1363
-- F1: 0.8658
+- Loss: 0.1401
+- F1: 0.8622
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2539        | 1.0   | 525  | 0.1505          | 0.8246 |
-| 0.1268        | 2.0   | 1050 | 0.1380          | 0.8503 |
-| 0.0794        | 3.0   | 1575 | 0.1363          | 0.8658 |
+| 0.2579        | 1.0   | 525  | 0.1554          | 0.8258 |
+| 0.1276        | 2.0   | 1050 | 0.1428          | 0.8513 |
+| 0.0818        | 3.0   | 1575 | 0.1401          | 0.8622 |
 
 
 ### Framework versions

runs/Sep21_06-44-47_2561d9975740/events.out.tfevents.1726901109.2561d9975740.116.6

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59891149e523bbd3f3d0f87695032171c1869e1709336eff08782bef0ef06c7d
-size 6552
+oid sha256:b3ae572692973d8525467f1495d7c75c94eb19123c2add0e563a4c4752087382
+size 7223