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: 0.2519
+- Loss: 0.1457
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.92
+- Accuracy: 0.9594
 
 ## 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    | 0.4292          | 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     |
+| No log        | 1.0   | 3    | 0.4724          | 0.0       | 0.0    | 0.0 | 0.9594   |
+| No log        | 2.0   | 6    | 0.3297          | 0.0       | 0.0    | 0.0 | 0.9594   |
+| No log        | 3.0   | 9    | 0.2177          | 0.0       | 0.0    | 0.0 | 0.9594   |
+| No log        | 4.0   | 12   | 0.1581          | 0.0       | 0.0    | 0.0 | 0.9594   |
+| No log        | 5.0   | 15   | 0.1457          | 0.0       | 0.0    | 0.0 | 0.9594   |
 
 
 ### Framework versions

runs/Jan27_10-49-33_32bd4fe8808f/events.out.tfevents.1737974980.32bd4fe8808f.327.4

@@ -1,3 +1,3 @@
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+oid sha256:737ad927fe0b987132f35461ed094df55dab0169c704e7cde5d4e5e945136beb
+size 7852