peeyushdutt/phishing-url-bert-tiny-v1

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: CrabInHoney/urlbert-tiny-v4-phishing-classifier
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: urlbert_results
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# urlbert_results
+
+This model is a fine-tuned version of [CrabInHoney/urlbert-tiny-v4-phishing-classifier](https://huggingface.co/CrabInHoney/urlbert-tiny-v4-phishing-classifier) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0654
+- Accuracy: 0.9888
+- F1: 0.9749
+- Precision: 0.9822
+- Recall: 0.9676
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.0645        | 1.0   | 6023  | 0.0649          | 0.9886   | 0.9743 | 0.9872    | 0.9618 |
+| 0.0600        | 2.0   | 12046 | 0.0585          | 0.9885   | 0.9744 | 0.9804    | 0.9685 |
+| 0.0628        | 3.0   | 18069 | 0.0575          | 0.9881   | 0.9736 | 0.9781    | 0.9691 |
+| 0.0560        | 4.0   | 24092 | 0.0599          | 0.9885   | 0.9743 | 0.9802    | 0.9686 |
+| 0.0520        | 5.0   | 30115 | 0.0689          | 0.9882   | 0.9734 | 0.9853    | 0.9618 |
+| 0.0488        | 6.0   | 36138 | 0.0685          | 0.9883   | 0.9738 | 0.9851    | 0.9628 |
+| 0.0462        | 7.0   | 42161 | 0.0638          | 0.9887   | 0.9747 | 0.9824    | 0.9672 |
+| 0.0474        | 8.0   | 48184 | 0.0703          | 0.9885   | 0.9742 | 0.9846    | 0.9640 |
+| 0.0409        | 9.0   | 54207 | 0.0649          | 0.9887   | 0.9748 | 0.9822    | 0.9675 |
+| 0.0457        | 10.0  | 60230 | 0.0654          | 0.9888   | 0.9749 | 0.9822    | 0.9676 |
+
+
+### Framework versions
+
+- Transformers 5.2.0
+- Pytorch 2.10.0+cu126
+- Datasets 4.5.0
+- Tokenizers 0.22.2

config.json

@@ -0,0 +1,30 @@
+{
+  "add_cross_attention": false,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 192,
+  "initializer_range": 0.02,
+  "intermediate_size": 768,
+  "is_decoder": false,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 64,
+  "model_type": "bert",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 8,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.2.0",
+  "type_vocab_size": 2,
+  "use_cache": false,
+  "vocab_size": 400
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c458f48c9dc652402c764926bd48fe42bb57fa7ec8ab10a03cc54849f44ea23
+size 14760296

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25f6ce33340cb64dccefd51fae842c23086c383ccef0bc67be4774f3bead68a8
+size 5201