Training completed!

README.md

@@ -3,6 +3,7 @@ base_model: tner/xlm-roberta-base-panx-dataset-ar
 tags:
 - generated_from_trainer
 metrics:
+- f1
 - accuracy
 model-index:
 - name: xlm-roberta-base-finetuned-panx-ar
@@ -17,6 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://huggingface.co/tner/xlm-roberta-base-panx-dataset-ar) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1977
+- F1: 0.8803
 - Accuracy: 0.9515
 
 ## Model description
@@ -46,9 +48,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2179        | 1.0   | 188  | 0.1977          | 0.9515   |
+| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
+| 0.2179        | 1.0   | 188  | 0.1977          | 0.8803 | 0.9515   |
 
 
 ### Framework versions

runs/Apr22_07-27-36_1c0fbdf709d8/events.out.tfevents.1713771155.1c0fbdf709d8.259.1

@@ -0,0 +1,3 @@
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+oid sha256:94b241124a2507e71b049f12df3cf498e32720d65c3e9db821bad9e5b8f5e778
+size 6017