Update README.md

README.md

@@ -1,69 +1,69 @@
----
-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: phishing-url-bert-tiny-v1
-  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. -->
-
-# phishing-url-bert-tiny-v1
-
-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: 0.0809
-- Accuracy: 0.9884
-- F1: 0.9741
-- Precision: 0.9829
-- Recall: 0.9655
-
-## 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: 3
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.0378        | 1.0   | 6023  | 0.0959          | 0.9873   | 0.9715 | 0.9857    | 0.9577 |
-| 0.0353        | 2.0   | 12046 | 0.0853          | 0.9882   | 0.9737 | 0.9819    | 0.9656 |
-| 0.0432        | 3.0   | 18069 | 0.0809          | 0.9884   | 0.9741 | 0.9829    | 0.9655 |
-
-
-### Framework versions
-
-- Transformers 5.2.0
-- Pytorch 2.10.0+cu126
-- Datasets 4.5.0
-- Tokenizers 0.22.2
+---
+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: phishing-url-bert-tiny-v1
+  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. -->
+
+# phishing-url-bert-tiny-v1
+
+This model is a fine-tuned version of [CrabInHoney/urlbert-tiny-v4-phishing-classifier](https://huggingface.co/CrabInHoney/urlbert-tiny-v4-phishing-classifier) on combination of multiple datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.0809
+- Accuracy: 0.9884
+- F1: 0.9741
+- Precision: 0.9829
+- Recall: 0.9655
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.0378        | 1.0   | 6023  | 0.0959          | 0.9873   | 0.9715 | 0.9857    | 0.9577 |
+| 0.0353        | 2.0   | 12046 | 0.0853          | 0.9882   | 0.9737 | 0.9819    | 0.9656 |
+| 0.0432        | 3.0   | 18069 | 0.0809          | 0.9884   | 0.9741 | 0.9829    | 0.9655 |
+
+
+### Framework versions
+
+- Transformers 5.2.0
+- Pytorch 2.10.0+cu126
+- Datasets 4.5.0
+- Tokenizers 0.22.2