gokulsrinivasagan / bert_tiny_lda_book_qnli

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 1
30-day runs: 5
Model's Last Updated: December 09 2024
text-classification

Introduction of bert_tiny_lda_book_qnli

Model Details of bert_tiny_lda_book_qnli

bert_tiny_lda_book_qnli

This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_book on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3910
  • Accuracy: 0.8261
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: 256
  • eval_batch_size: 256
  • seed: 10
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 50
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.5188 1.0 410 0.4174 0.8093
0.4093 2.0 820 0.4038 0.8159
0.3459 3.0 1230 0.3910 0.8261
0.2907 4.0 1640 0.4633 0.8102
0.2369 5.0 2050 0.4564 0.8228
0.1936 6.0 2460 0.4939 0.8268
0.156 7.0 2870 0.5934 0.8122
0.1277 8.0 3280 0.6393 0.8098
Framework versions
  • Transformers 4.46.3
  • Pytorch 2.2.1+cu118
  • Datasets 2.17.0
  • Tokenizers 0.20.3

Runs of gokulsrinivasagan bert_tiny_lda_book_qnli on huggingface.co

9
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
5
30-day runs

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bert_tiny_lda_book_qnli install

bert_tiny_lda_book_qnli is an open source model from GitHub that offers a free installation service, and any user can find bert_tiny_lda_book_qnli on GitHub to install. At the same time, huggingface.co provides the effect of bert_tiny_lda_book_qnli install, users can directly use bert_tiny_lda_book_qnli installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_book_qnli

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