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: 1.2894
-- Accuracy: 0.5852
+- Loss: 1.2365
+- Accuracy: 0.6173
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.143         | 1.0   | 79   | 1.9131          | 0.3741   |
-| 1.6912        | 2.0   | 158  | 1.5070          | 0.4519   |
-| 1.5696        | 3.0   | 237  | 1.3278          | 0.5926   |
-| 1.4828        | 4.0   | 316  | 1.2894          | 0.5852   |
+| 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   |
 
 
 ### Framework versions

runs/Dec01_09-49-22_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764579048.tsf-508-wpa-6-167.epfl.ch.2424.2

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+size 411

runs/Dec01_09-50-07_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764579008.tsf-508-wpa-6-167.epfl.ch.2424.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 14360
+oid sha256:cddb949ce12382afc4aaadaefae1ff22fd2ac7e5a242112eeb74d2dab5718f88
+size 15037

runs/Dec01_09-50-07_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764579051.tsf-508-wpa-6-167.epfl.ch.2424.3

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+version https://git-lfs.github.com/spec/v1
+oid sha256:48286b3567d48c628ee481271d20eb2d5c071ff85adee650b65e592a0c841f8c
+size 411