Model save

README.md

@@ -21,11 +21,11 @@ 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: 0.0633
-- Accuracy: 0.9777
-- Precision: 0.7049
-- Recall: 0.6708
-- F1: 0.6875
+- Loss: 0.0634
+- Accuracy: 0.9780
+- Precision: 0.7114
+- Recall: 0.6376
+- F1: 0.6725
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 38   | 0.1591          | 0.9513   | 0.0       | 0.0    | 0.0    |
-| No log        | 2.0   | 76   | 0.0879          | 0.9704   | 0.6467    | 0.5761 | 0.6094 |
-| No log        | 3.0   | 114  | 0.0719          | 0.9764   | 0.7029    | 0.6480 | 0.6743 |
-| No log        | 4.0   | 152  | 0.0663          | 0.9775   | 0.6930    | 0.6791 | 0.6860 |
-| No log        | 5.0   | 190  | 0.0633          | 0.9777   | 0.7049    | 0.6708 | 0.6875 |
+| No log        | 1.0   | 38   | 0.1618          | 0.9513   | 0.0       | 0.0    | 0.0    |
+| No log        | 2.0   | 76   | 0.0873          | 0.9742   | 0.7385    | 0.5685 | 0.6424 |
+| No log        | 3.0   | 114  | 0.0693          | 0.9773   | 0.7357    | 0.5968 | 0.6590 |
+| No log        | 4.0   | 152  | 0.0665          | 0.9771   | 0.6768    | 0.6777 | 0.6773 |
+| No log        | 5.0   | 190  | 0.0634          | 0.9780   | 0.7114    | 0.6376 | 0.6725 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a4e53732e25730e6fb23b076d770d8c85ec9a9fb1705258ac12a483a3e637c76
+oid sha256:25ff4b07b1fdcb104ac7c7da0e2777c4f581d09a3fd6fb80f9057986140595f2
 size 1109845500