chuuhtetnaing / cat_2_classifier

huggingface.co
Total runs: 107
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 11 2024
text-classification

Introduction of cat_2_classifier

Model Details of cat_2_classifier

cat_2_classifier

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: 1.4909
  • Accuracy: 0.8231
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.8619 1.0 1489 0.6702 0.7819
0.6055 2.0 2978 0.5732 0.8031
0.4928 3.0 4467 0.5505 0.8209
0.397 4.0 5956 0.5604 0.8125
0.3121 5.0 7445 0.6099 0.8262
0.2427 6.0 8934 0.6541 0.8152
0.1971 7.0 10423 0.7778 0.8193
0.1408 8.0 11912 0.8617 0.8246
0.1259 9.0 13401 0.9893 0.8141
0.0889 10.0 14890 1.0761 0.8201
0.0619 11.0 16379 1.1579 0.8171
0.0615 12.0 17868 1.2634 0.8243
0.0443 13.0 19357 1.2942 0.8197
0.042 14.0 20846 1.4132 0.8175
0.0259 15.0 22335 1.3641 0.8205
0.0228 16.0 23824 1.4526 0.8186
0.0208 17.0 25313 1.4841 0.8280
0.0123 18.0 26802 1.4679 0.8239
0.0101 19.0 28291 1.5019 0.8269
0.0099 20.0 29780 1.4909 0.8231
Framework versions
  • Transformers 4.42.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of chuuhtetnaing cat_2_classifier on huggingface.co

107
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
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30-day runs

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https://huggingface.co/chuuhtetnaing/cat_2_classifier

cat_2_classifier install

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https://huggingface.co/chuuhtetnaing/cat_2_classifier

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