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update model card README.md

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@@ -15,13 +15,13 @@ model-index:
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  dataset:
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  name: xtreme
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  type: xtreme
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- config: PAN-X.de
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  split: validation
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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: 0.8716380725893211
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MunSu/xlm-roberta-base-finetuned-panx-de](https://huggingface.co/MunSu/xlm-roberta-base-finetuned-panx-de) on the xtreme dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1956
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- - F1: 0.8716
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.1198 | 1.0 | 1573 | 0.1736 | 0.8474 |
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- | 0.08 | 2.0 | 3146 | 0.1771 | 0.8656 |
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- | 0.0414 | 3.0 | 4719 | 0.1956 | 0.8716 |
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  ### Framework versions
 
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  dataset:
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  name: xtreme
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  type: xtreme
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+ config: PAN-X.fr
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  split: validation
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+ args: PAN-X.fr
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.8053127101546739
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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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  This model is a fine-tuned version of [MunSu/xlm-roberta-base-finetuned-panx-de](https://huggingface.co/MunSu/xlm-roberta-base-finetuned-panx-de) on the xtreme dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4428
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+ - F1: 0.8053
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 63 | 0.3992 | 0.7649 |
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+ | No log | 2.0 | 126 | 0.4269 | 0.8050 |
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+ | No log | 3.0 | 189 | 0.4428 | 0.8053 |
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  ### Framework versions