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abbeydupsys
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bert-phishing-classifier_teacher

Text Classification
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bert
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Mar04_09-26-36_Abioduns-Mac-mini.local/events.out.tfevents.1741073198.Abioduns-Mac-mini.local.5009.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2993
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  - Accuracy: 0.869
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  - Auc: 0.951
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@@ -51,16 +51,16 @@ 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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- | 0.4916 | 1.0 | 263 | 0.4186 | 0.782 | 0.912 |
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- | 0.3907 | 2.0 | 526 | 0.3610 | 0.818 | 0.93 |
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- | 0.3817 | 3.0 | 789 | 0.3158 | 0.858 | 0.939 |
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- | 0.3592 | 4.0 | 1052 | 0.4327 | 0.818 | 0.942 |
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- | 0.351 | 5.0 | 1315 | 0.3253 | 0.869 | 0.946 |
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- | 0.3537 | 6.0 | 1578 | 0.3029 | 0.871 | 0.948 |
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- | 0.3211 | 7.0 | 1841 | 0.2918 | 0.86 | 0.949 |
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- | 0.3286 | 8.0 | 2104 | 0.2980 | 0.873 | 0.949 |
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- | 0.3136 | 9.0 | 2367 | 0.2902 | 0.862 | 0.95 |
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- | 0.3057 | 10.0 | 2630 | 0.2993 | 0.869 | 0.951 |
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2987
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  - Accuracy: 0.869
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  - Auc: 0.951
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
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+ | 0.492 | 1.0 | 263 | 0.4169 | 0.784 | 0.912 |
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+ | 0.3949 | 2.0 | 526 | 0.3575 | 0.824 | 0.93 |
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+ | 0.3821 | 3.0 | 789 | 0.3155 | 0.858 | 0.939 |
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+ | 0.3589 | 4.0 | 1052 | 0.4550 | 0.802 | 0.941 |
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+ | 0.3529 | 5.0 | 1315 | 0.3322 | 0.86 | 0.946 |
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+ | 0.353 | 6.0 | 1578 | 0.3057 | 0.873 | 0.948 |
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+ | 0.321 | 7.0 | 1841 | 0.2923 | 0.862 | 0.949 |
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+ | 0.3277 | 8.0 | 2104 | 0.2999 | 0.873 | 0.949 |
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+ | 0.3149 | 9.0 | 2367 | 0.2905 | 0.864 | 0.95 |
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+ | 0.3055 | 10.0 | 2630 | 0.2987 | 0.869 | 0.951 |
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  ### Framework versions
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