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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- base_model: bert-base-uncased
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  library_name: transformers
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the https://www.kaggle.com/datasets/skywardai/network-vulnerability dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0005
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  ## Model description
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@@ -35,7 +35,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0141 | 1.0 | 50 | 0.0061 |
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- | 0.0016 | 2.0 | 100 | 0.0011 |
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- | 0.001 | 3.0 | 150 | 0.0007 |
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- | 0.0008 | 4.0 | 200 | 0.0005 |
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- | 0.0007 | 5.0 | 250 | 0.0005 |
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  ### Framework versions
 
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  ---
 
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  library_name: transformers
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  license: apache-2.0
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+ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the https://www.kaggle.com/datasets/skywardai/network-vulnerability dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0002
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0012 | 1.0 | 50 | 0.0007 |
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+ | 0.0004 | 2.0 | 100 | 0.0003 |
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+ | 0.0003 | 3.0 | 150 | 0.0002 |
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+ | 0.0002 | 4.0 | 200 | 0.0002 |
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+ | 0.0002 | 5.0 | 250 | 0.0002 |
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  ### Framework versions
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