End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: BERT-Router-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. -->
+
+# BERT-Router-v1
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1199
+- Accuracy: 0.955
+- Auc: 0.992
+
+## 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: 2e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 512
+- optimizer: Use 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Auc   |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-----:|
+| 0.134         | 2.1778 | 50   | 0.1322          | 0.949    | 0.991 |
+| 0.1212        | 4.3556 | 100  | 0.1267          | 0.951    | 0.991 |
+| 0.1199        | 6.5333 | 150  | 0.1223          | 0.953    | 0.992 |
+| 0.1193        | 8.7111 | 200  | 0.1199          | 0.955    | 0.992 |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.0
+- Tokenizers 0.21.0

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