---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-webpage-classifier
  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-webpage-classifier

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0136
- Accuracy: 0.996

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1497        | 1.0   | 2536  | 0.0185          | 0.996    |
| 0.0308        | 2.0   | 5072  | 0.0151          | 0.996    |
| 0.0263        | 3.0   | 7608  | 0.0143          | 0.996    |
| 0.0245        | 4.0   | 10144 | 0.0140          | 0.996    |
| 0.0213        | 5.0   | 12680 | 0.0140          | 0.996    |
| 0.0199        | 6.0   | 15216 | 0.0139          | 0.998    |
| 0.0184        | 7.0   | 17752 | 0.0133          | 0.996    |
| 0.0187        | 8.0   | 20288 | 0.0141          | 0.996    |
| 0.0181        | 9.0   | 22824 | 0.0139          | 0.996    |
| 0.0174        | 10.0  | 25360 | 0.0136          | 0.996    |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1