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 [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.7403
-- Accuracy: 0.2679
+- Loss: 1.8954
+- Accuracy: 0.4424
 
 ## Model description
 
@@ -54,13 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.9036        | 1.0   | 80   | 2.7576          | 0.0903   |
-| 2.7617        | 2.0   | 160  | 2.7788          | 0.0841   |
-| 2.8279        | 3.0   | 240  | 2.7933          | 0.1028   |
-| 2.8148        | 4.0   | 320  | 2.7403          | 0.2679   |
-| 2.8342        | 5.0   | 400  | 2.7405          | 0.0997   |
-| 2.7958        | 6.0   | 480  | 2.7395          | 0.2679   |
-| 2.7636        | 7.0   | 560  | 2.7396          | 0.2679   |
+| 2.8197        | 1.0   | 80   | 2.7321          | 0.0997   |
+| 2.779         | 2.0   | 160  | 2.7132          | 0.0685   |
+| 2.7229        | 3.0   | 240  | 2.7197          | 0.1402   |
+| 2.581         | 4.0   | 320  | 2.5344          | 0.2181   |
+| 2.4379        | 5.0   | 400  | 2.3477          | 0.2399   |
+| 2.2182        | 6.0   | 480  | 2.2080          | 0.3146   |
+| 1.8611        | 7.0   | 560  | 2.0024          | 0.4112   |
+| 1.7581        | 8.0   | 640  | 1.8954          | 0.4424   |
+| 1.5059        | 9.0   | 720  | 1.8806          | 0.4206   |
+| 1.2983        | 10.0  | 800  | 1.8553          | 0.4143   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9435a5f4d3b0e40a85780d8c3f13bc77d99a5e998907c1c15ab6313850ef2e2
+oid sha256:920c7991d308c9f4ade6f7572bb1300ca286b9e6deca50fe759ad1dfdd8f7305
 size 2239680172