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update model card README.md

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@@ -20,10 +20,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9155
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  - name: F1
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  type: f1
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- value: 0.9163493789880857
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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
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2377
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- - Accuracy: 0.9155
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- - F1: 0.9163
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.0135 | 1.0 | 250 | 0.3420 | 0.8965 | 0.8953 |
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- | 0.2909 | 2.0 | 500 | 0.2377 | 0.9155 | 0.9163 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9195
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  - name: F1
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  type: f1
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+ value: 0.9204823251325381
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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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2369
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+ - Accuracy: 0.9195
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+ - F1: 0.9205
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.9212 | 1.0 | 250 | 0.3466 | 0.8965 | 0.8966 |
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+ | 0.2893 | 2.0 | 500 | 0.2369 | 0.9195 | 0.9205 |
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  ### Framework versions