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Upload TFDistilBertForSequenceClassification

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  1. README.md +47 -0
  2. config.json +31 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: nosqli_identifier
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # nosqli_identifier
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: None
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - TensorFlow 2.12.0
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "/content/fine-tuned-model",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "Benign",
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+ "1": "Malitious"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Benign": 0,
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+ "Malitious": 1
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+ },
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "pad_token_id": 0,
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "transformers_version": "4.30.2",
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+ "vocab_size": 30522
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+ }
tf_model.h5 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9f001ab3b59978953194114baf8e2c82f8f437f7f517f8a73aa6bff4fa044bc0
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+ size 267955144