Model save

README.md

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+---
+library_name: transformers
+base_model: DeepPavlov/rubert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: learn_hf_phishing_not_phishing_text_classifier_rubert
+  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. -->
+
+# learn_hf_phishing_not_phishing_text_classifier_rubert
+
+This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1041
+- Accuracy: 0.9870
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5787        | 1.0   | 10   | 0.2982          | 0.9610   |
+| 0.1417        | 2.0   | 20   | 0.1449          | 0.9610   |
+| 0.0454        | 3.0   | 30   | 0.0945          | 0.9870   |
+| 0.1515        | 4.0   | 40   | 0.2828          | 0.9610   |
+| 0.0611        | 5.0   | 50   | 0.0820          | 0.9870   |
+| 0.0018        | 6.0   | 60   | 0.0945          | 0.9870   |
+| 0.0033        | 7.0   | 70   | 0.0998          | 0.9870   |
+| 0.0006        | 8.0   | 80   | 0.1025          | 0.9870   |
+| 0.0005        | 9.0   | 90   | 0.1037          | 0.9870   |
+| 0.0004        | 10.0  | 100  | 0.1041          | 0.9870   |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

model.safetensors

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