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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: 0.924
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  - name: F1
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  type: f1
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- value: 0.9243453505137844
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2200
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- - Accuracy: 0.924
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- - F1: 0.9243
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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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- | 0.814 | 1.0 | 250 | 0.3091 | 0.905 | 0.9029 |
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- | 0.2461 | 2.0 | 500 | 0.2200 | 0.924 | 0.9243 |
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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: 0.922
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  - name: F1
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  type: f1
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+ value: 0.9222116474112371
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2175
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+ - Accuracy: 0.922
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+ - F1: 0.9222
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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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+ | 0.8262 | 1.0 | 250 | 0.3073 | 0.904 | 0.9021 |
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+ | 0.2484 | 2.0 | 500 | 0.2175 | 0.922 | 0.9222 |
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  ### Framework versions