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twitter_bank_scam_classifier

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Colabng/twitter_bank_scam_classifier

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Files changed (19) hide show
  1. README.md +5 -5
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
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  19. training_args.bin +1 -1
README.md CHANGED
@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6102
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  - Accuracy: 0.64
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- - Auc: 0.82
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  ## Model description
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@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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- | 0.6955 | 1.0 | 11 | 0.6258 | 0.68 | 0.83 |
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- | 0.6666 | 2.0 | 22 | 0.6102 | 0.64 | 0.82 |
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  ### Framework versions
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  - PEFT 0.16.0
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  - Transformers 4.53.3
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- - Pytorch 2.7.1+cu126
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  - Datasets 4.0.0
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  - Tokenizers 0.21.2
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6500
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  - Accuracy: 0.64
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+ - Auc: 0.7
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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+ | 0.6946 | 1.0 | 11 | 0.6352 | 0.64 | 0.74 |
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+ | 0.6177 | 2.0 | 22 | 0.6500 | 0.64 | 0.7 |
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59
 
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  ### Framework versions
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  - PEFT 0.16.0
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  - Transformers 4.53.3
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+ - Pytorch 2.7.1
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  - Datasets 4.0.0
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  - Tokenizers 0.21.2
adapter_config.json CHANGED
@@ -28,9 +28,9 @@
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