Training complete!

README.md

@@ -4,6 +4,9 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: xlm-roberta-base-finetuned-gss
   results: []
@@ -16,8 +19,9 @@ 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: 0.5804
-- Mae: 0.362
+- Loss: 0.6361
+- Accuracy: 0.762
+- F1: 0.7629
 
 ## Model description
 
@@ -46,10 +50,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mae   |
-|:-------------:|:-----:|:----:|:---------------:|:-----:|
-| 0.7879        | 1.0   | 183  | 0.6521          | 0.391 |
-| 0.6423        | 2.0   | 366  | 0.5804          | 0.362 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.5777        | 1.0   | 183  | 0.6264          | 0.756    | 0.7484 |
+| 0.411         | 2.0   | 366  | 0.6361          | 0.762    | 0.7629 |
 
 
 ### Framework versions

runs/Oct09_21-08-06_d75327d9d71c/events.out.tfevents.1728508533.d75327d9d71c.290.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6805
+oid sha256:6d3ec2fd8f4dd85df8f006c2f2e97379ece4ea958ed4809736ce1abd60dcb773
+size 7159