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update model card README.md

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@@ -4,9 +4,22 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - xtreme
 
 
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  model-index:
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  - name: xlm-roberta-base-finetuned-panx-de
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- results: []
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +28,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # xlm-roberta-base-finetuned-panx-de
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  ### Framework versions
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  - Transformers 4.20.1
 
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  - generated_from_trainer
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  datasets:
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  - xtreme
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+ metrics:
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+ - f1
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  model-index:
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  - name: xlm-roberta-base-finetuned-panx-de
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+ results:
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+ - task:
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+ name: Token Classification
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+ type: token-classification
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+ dataset:
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+ name: xtreme
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+ type: xtreme
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+ args: PAN-X.de
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.8588964027959312
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # xlm-roberta-base-finetuned-panx-de
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1383
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+ - F1: 0.8589
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.2631 | 1.0 | 525 | 0.1596 | 0.8218 |
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+ | 0.1296 | 2.0 | 1050 | 0.1353 | 0.8479 |
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+ | 0.0821 | 3.0 | 1575 | 0.1383 | 0.8589 |
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+
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+
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  ### Framework versions
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  - Transformers 4.20.1