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fine-url-classifier

Text Classification
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distilbert
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metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: fine-url-classifier
    results: []
datasets:
  - PDAP/fine-labeled-urls-headers
pipeline_tag: text-classification

fine-url-classifier

This model is a fine-tuned version of distilbert-base-uncased on the dataset PDAP/fine-labeled-urls-headers.. It achieves the following results on the evaluation set:

  • Loss: 1.7291
  • Accuracy: 0.5702

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 375 2.2771 0.4146
2.6525 2.0 750 1.9316 0.5441
1.9453 3.0 1125 1.7770 0.5565
1.6729 4.0 1500 1.7291 0.5702

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2
  • Datasets 2.16.1
  • Tokenizers 0.15.0