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End of Training

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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: 0.9245
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  - name: F1
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  type: f1
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- value: 0.924594313282138
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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: 0.2200
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- - Accuracy: 0.9245
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- - F1: 0.9246
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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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- | 0.7942 | 1.0 | 250 | 0.3119 | 0.906 | 0.9065 |
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- | 0.2466 | 2.0 | 500 | 0.2200 | 0.9245 | 0.9246 |
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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: 0.9185
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  - name: F1
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  type: f1
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+ value: 0.9185782310492328
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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: 0.2205
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+ - Accuracy: 0.9185
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+ - F1: 0.9186
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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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+ | 0.7975 | 1.0 | 250 | 0.3090 | 0.902 | 0.9014 |
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+ | 0.2422 | 2.0 | 500 | 0.2205 | 0.9185 | 0.9186 |
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  ### Framework versions