End of training

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: 0.2599
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.2519
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.92
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 2    | 0.4196          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 2.0   | 4    | 0.2918          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 3.0   | 6    | 0.2867          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 4.0   | 8    | 0.2721          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 5.0   | 10   | 0.2599          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 1.0   | 2    | 0.4292          | 0.0       | 0.0    | 0.0 | 0.92     |
+| No log        | 2.0   | 4    | 0.3462          | 0.0       | 0.0    | 0.0 | 0.92     |
+| No log        | 3.0   | 6    | 0.2909          | 0.0       | 0.0    | 0.0 | 0.92     |
+| No log        | 4.0   | 8    | 0.2624          | 0.0       | 0.0    | 0.0 | 0.92     |
+| No log        | 5.0   | 10   | 0.2519          | 0.0       | 0.0    | 0.0 | 0.92     |
 
 
 ### Framework versions