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

Text Classification
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bert
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End of training

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Files changed (4) hide show
  1. README.md +9 -8
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +2 -2
README.md CHANGED
@@ -1,6 +1,7 @@
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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 +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: 0.2172
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  ## Model description
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@@ -46,14 +47,14 @@ 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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- | 0.2301 | 1.0 | 63 | 0.2158 |
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- | 0.2772 | 2.0 | 126 | 0.2163 |
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- | 0.2284 | 3.0 | 189 | 0.2172 |
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  ### Framework versions
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- - Transformers 4.44.0
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  - Pytorch 2.4.0
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- - Datasets 2.21.0
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- - Tokenizers 0.19.1
 
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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: 0.1557
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1983 | 1.0 | 63 | 0.1568 |
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+ | 0.223 | 2.0 | 126 | 0.1585 |
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+ | 0.1399 | 3.0 | 189 | 0.1557 |
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  ### Framework versions
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+ - Transformers 4.45.1
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  - Pytorch 2.4.0
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
config.json CHANGED
@@ -20,7 +20,7 @@
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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- "transformers_version": "4.44.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30522
 
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.45.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30522
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training_args.bin CHANGED
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