chuuhtetnaing / cat-1-html-distilbert-base-uncased-v1

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Total runs: 131
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 15 2024
text-classification

Introduction of cat-1-html-distilbert-base-uncased-v1

Model Details of cat-1-html-distilbert-base-uncased-v1

cat-1-html-distilbert-base-uncased-v1

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2614
  • Accuracy: 0.9635
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: 70
  • eval_batch_size: 70
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.2321 1.0 865 0.1806 0.9107
0.1272 2.0 1730 0.1712 0.9600
0.0957 3.0 2595 0.1738 0.9641
0.0756 4.0 3460 0.1838 0.9647
0.053 5.0 4325 0.1979 0.9628
0.0445 6.0 5190 0.2158 0.9643
0.0349 7.0 6055 0.2480 0.9635
0.0274 8.0 6920 0.2614 0.9635
Framework versions
  • Transformers 4.42.4
  • Pytorch 2.2.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of chuuhtetnaing cat-1-html-distilbert-base-uncased-v1 on huggingface.co

131
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