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update model card README.md

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  1. README.md +7 -7
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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: 0.925
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  - name: F1
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  type: f1
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- value: 0.9249994838735149
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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: 0.2234
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- - Accuracy: 0.925
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- - F1: 0.9250
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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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- | 0.8762 | 1.0 | 250 | 0.3350 | 0.9045 | 0.9008 |
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- | 0.2693 | 2.0 | 500 | 0.2234 | 0.925 | 0.9250 |
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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: 0.924
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  - name: F1
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  type: f1
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+ value: 0.9241797568865819
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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: 0.2118
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+ - Accuracy: 0.924
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+ - F1: 0.9242
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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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+ | 0.8124 | 1.0 | 250 | 0.3060 | 0.905 | 0.9022 |
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+ | 0.2469 | 2.0 | 500 | 0.2118 | 0.924 | 0.9242 |
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  ### Framework versions