Training complete

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2265
-- Precision: 0.6085
-- Recall: 0.6977
-- F1: 0.6501
-- Accuracy: 0.9259
+- Loss: 0.2287
+- Precision: 0.5953
+- Recall: 0.7081
+- F1: 0.6468
+- Accuracy: 0.9272
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 125  | 0.2663          | 0.5512    | 0.6326 | 0.5891 | 0.9155   |
-| No log        | 2.0   | 250  | 0.2311          | 0.6012    | 0.6907 | 0.6429 | 0.9248   |
-| No log        | 3.0   | 375  | 0.2265          | 0.6085    | 0.6977 | 0.6501 | 0.9259   |
+| No log        | 1.0   | 125  | 0.2634          | 0.5563    | 0.6430 | 0.5965 | 0.9173   |
+| No log        | 2.0   | 250  | 0.2297          | 0.5871    | 0.7093 | 0.6424 | 0.9249   |
+| No log        | 3.0   | 375  | 0.2287          | 0.5953    | 0.7081 | 0.6468 | 0.9272   |
 
 
 ### Framework versions

runs/Feb05_11-38-06_f26c6f69900b/events.out.tfevents.1738755497.f26c6f69900b.364.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f3072b40552d2df9ab94380b850f4625c76f65b397207d70ec5d47a986545bc4
-size 7031
+oid sha256:d15c8af89a3bfe3a8f6f88378127af7411300faf6ff5a70d33d2e032ebfe2a73
+size 7385