Training completed!

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-de
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # xlm-roberta-base-finetuned-panx-de
 
 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: 0.1368
+- F1: 0.8622
 
 ## Model description
 
@@ -38,13 +43,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1  |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| No log        | 0.0   | 1    | 1.4804          | 0.0 |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2567        | 1.0   | 525  | 0.1632          | 0.8170 |
+| 0.1247        | 2.0   | 1050 | 0.1403          | 0.8500 |
+| 0.0808        | 3.0   | 1575 | 0.1368          | 0.8622 |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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