End of training

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2365
-- Accuracy: 0.6173
+- Loss: 1.1845
+- Accuracy: 0.5929
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7839        | 1.0   | 95   | 1.5802          | 0.4969   |
-| 1.2927        | 2.0   | 190  | 1.3978          | 0.5926   |
-| 1.3307        | 3.0   | 285  | 1.3411          | 0.5494   |
-| 1.1706        | 4.0   | 380  | 1.2365          | 0.6173   |
+| 1.5752        | 1.0   | 123  | 1.5979          | 0.3929   |
+| 1.4761        | 2.0   | 246  | 1.3127          | 0.5738   |
+| 1.101         | 3.0   | 369  | 1.2359          | 0.5667   |
+| 1.1792        | 4.0   | 492  | 1.1845          | 0.5929   |
 
 
 ### Framework versions

runs/Dec01_10-38-51_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764582043.tsf-508-wpa-6-167.epfl.ch.3602.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8b908422747cd55a0c04344c2daedf6fd51509efe2ac4597cde4b4deeb87731
+size 411

runs/Dec01_10-39-50_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764581991.tsf-508-wpa-6-167.epfl.ch.3602.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2637be282eca4b7cad9c3df9cfa6e710adbf9e2e99f170f41fbc027b26ff6afa
-size 16681
+oid sha256:ee56649691f5067bece25657c7a585286e4f3b66d115f692a78a62e508301ed8
+size 17358

runs/Dec01_10-39-50_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764582046.tsf-508-wpa-6-167.epfl.ch.3602.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:215be3a4dd09fd30d3bf67bd36e18d502d61365a1f866e5a066dd72649ac64b0
+size 411