nuwrong commited on
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Training completed!

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  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,10 +22,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.901
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  - name: F1
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  type: f1
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- value: 0.89754070016765
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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
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nuwrong/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/nuwrong/distilbert-base-uncased-finetuned-emotion) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3518
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- - Accuracy: 0.901
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- - F1: 0.8975
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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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- | No log | 1.0 | 125 | 0.5649 | 0.821 | 0.7944 |
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- | 0.7652 | 2.0 | 250 | 0.3518 | 0.901 | 0.8975 |
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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: 0.8975
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  - name: F1
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  type: f1
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+ value: 0.8918840109817414
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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 [nuwrong/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/nuwrong/distilbert-base-uncased-finetuned-emotion) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3723
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+ - Accuracy: 0.8975
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+ - F1: 0.8919
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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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+ | No log | 1.0 | 125 | 0.6100 | 0.7925 | 0.7532 |
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+ | 0.8121 | 2.0 | 250 | 0.3723 | 0.8975 | 0.8919 |
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  ### Framework versions
pytorch_model.bin CHANGED
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