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Training completed!

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  1. README.md +7 -7
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@@ -23,10 +23,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9295
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  - name: F1
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  type: f1
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- value: 0.9298172796326061
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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
@@ -36,9 +36,9 @@ 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: 0.1546
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- - Accuracy: 0.9295
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- - F1: 0.9298
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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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- | 0.2135 | 1.0 | 250 | 0.1766 | 0.93 | 0.9302 |
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- | 0.1394 | 2.0 | 500 | 0.1546 | 0.9295 | 0.9298 |
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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: 0.926
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  - name: F1
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  type: f1
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+ value: 0.925944582955182
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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: 0.2129
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+ - Accuracy: 0.926
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+ - F1: 0.9259
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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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+ | 0.8026 | 1.0 | 250 | 0.2986 | 0.917 | 0.9160 |
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+ | 0.2447 | 2.0 | 500 | 0.2129 | 0.926 | 0.9259 |
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  ### Framework versions