End of training

README.md

@@ -1,5 +1,6 @@
 ---
 library_name: transformers
+license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
@@ -20,11 +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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0786
-- Precision: 0.9751
-- Recall: 0.9752
-- F1: 0.9751
-- Accuracy: 0.9771
+- Loss: 0.0714
+- Precision: 0.9739
+- Recall: 0.9748
+- F1: 0.9743
+- Accuracy: 0.9764
 
 ## Model description
 
@@ -55,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.4394        | 1.0   | 904  | 0.0911          | 0.9695    | 0.9705 | 0.9700 | 0.9714   |
-| 0.1035        | 2.0   | 1808 | 0.0786          | 0.9751    | 0.9752 | 0.9751 | 0.9771   |
+| 0.4249        | 1.0   | 904  | 0.0824          | 0.9706    | 0.9723 | 0.9714 | 0.9733   |
+| 0.1046        | 2.0   | 1808 | 0.0714          | 0.9739    | 0.9748 | 0.9743 | 0.9764   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:80c83310d2e0dc8425c13066289f524a273c8b289ba7eeb3db9638627bfb906c
 size 1109891640