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malecada
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en-phishing-email-classifier

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distilbert
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End of training

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  1. README.md +9 -7
  2. model.safetensors +1 -1
  3. runs/Aug07_15-00-36_ea715cf5a7ab/events.out.tfevents.1723042837.ea715cf5a7ab.74458.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4004
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  ## Model description
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@@ -40,17 +40,19 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.4123 | 1.0 | 137 | 0.3726 |
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- | 0.2593 | 2.0 | 274 | 0.3670 |
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- | 0.203 | 3.0 | 411 | 0.4425 |
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- | 0.1629 | 4.0 | 548 | 0.4216 |
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- | 0.1325 | 5.0 | 685 | 0.4004 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4461
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.3965 | 1.0 | 137 | 0.3962 |
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+ | 0.257 | 2.0 | 274 | 0.3002 |
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+ | 0.2052 | 3.0 | 411 | 0.3549 |
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+ | 0.1678 | 4.0 | 548 | 0.4167 |
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+ | 0.1354 | 5.0 | 685 | 0.4528 |
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+ | 0.1038 | 6.0 | 822 | 0.4026 |
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+ | 0.0863 | 7.0 | 959 | 0.4461 |
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  ### Framework versions
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