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Bert Webpage Classifier

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

Fuentehuggingface.co/chiakelvin/bert-webpage-classifier/tree/cadaf2599c7f5be829e0da905ddf54516f506629
TipoEmbeddingModelo basegoogle-bert/bert-base-uncasedVersiónRevision cadaf25Unratedcalidad

Fuente del modelo

Tipo
Embedding
Tamaño del archivo
418 MB
Modelo base
google-bert/bert-base-uncased
Versión
vRevision cadaf25
Actualizado
6 nov 2026
Descargas
4
Fuente
Hugging Face

Descripción de la fuente

bert-webpage-classifier

This model is a fine-tuned version of 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 LossEpochStepValidation LossAccuracy
0.14971.025360.01850.996
0.03082.050720.01510.996
0.02633.076080.01430.996
0.02454.0101440.01400.996
0.02135.0126800.01400.996
0.01996.0152160.01390.998
0.01847.0177520.01330.996
0.01878.0202880.01410.996
0.01819.0228240.01390.996
0.017410.0253600.01360.996

Framework versions

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

Fuentes

1 fuente
Hugging FacePrincipalVersión cadaf2599c7f5be829e0da905ddf54516f506629
huggingface.co/chiakelvin/bert-webpage-classifier/tree/cadaf2599c7f5be829e0da905ddf54516f506629

Verificado 3 oct

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 418 MB · SHA-256 de5aaf650c55…f112 · Hugging Face

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Extractos de fuentes

3 extractos
Readme17 julhuggingface.co/chiakelvin/bert-webpage-classifier

--- 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

Note3 octhuggingface.co/chiakelvin/bert-webpage-classifier

Source context: 4 downloads · 0 likes · Pipeline text-classification · Library transformers · Repo chiakelvin/bert-webpage-classifier

Note17 julhuggingface.co/chiakelvin/bert-webpage-classifier

Source context: 17 downloads · 0 likes · Pipeline text-classification · Library transformers · Repo chiakelvin/bert-webpage-classifier