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ft-bert-base-uncased-for-binary-search

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  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. runs/Sep22_06-33-20_c6f90c9d4541/events.out.tfevents.1726986800.c6f90c9d4541.36.1 +3 -0
  4. runs/Sep22_06-34-14_c6f90c9d4541/events.out.tfevents.1726986855.c6f90c9d4541.361.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
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  ---
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- base_model: bert-base-uncased
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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:
@@ -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 [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: 0.2030
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  ## Model description
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@@ -46,9 +46,9 @@ 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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- | No log | 1.0 | 63 | 0.1929 |
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- | No log | 2.0 | 126 | 0.1969 |
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- | No log | 3.0 | 189 | 0.2030 |
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  ### Framework versions
 
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  ---
 
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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: 0.1532
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 63 | 0.1507 |
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+ | No log | 2.0 | 126 | 0.1636 |
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+ | No log | 3.0 | 189 | 0.1532 |
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  ### Framework versions
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