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rationalenterprise/fine_tuned_spam_model

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  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. tokenizer.json +2 -16
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/bert-tiny-finetuned-sms-spam-detection](https://huggingface.co/mrm8488/bert-tiny-finetuned-sms-spam-detection) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0958
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- - Accuracy: 0.5367
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  ## Model description
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@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.1513 | 1.0 | 42 | 1.1530 | 0.5367 |
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- | 1.071 | 2.0 | 84 | 1.1045 | 0.5367 |
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- | 1.0416 | 3.0 | 126 | 1.0958 | 0.5367 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mrm8488/bert-tiny-finetuned-sms-spam-detection](https://huggingface.co/mrm8488/bert-tiny-finetuned-sms-spam-detection) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0884
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+ - Accuracy: 0.5480
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.1383 | 1.0 | 42 | 1.1377 | 0.5367 |
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+ | 1.0594 | 2.0 | 84 | 1.0975 | 0.5424 |
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+ | 1.0472 | 3.0 | 126 | 1.0884 | 0.5480 |
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  ### Framework versions
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