muhtasham / bert-tiny-target-cola

huggingface.co
Total runs: 29
24-hour runs: 1
7-day runs: 2
30-day runs: 24
Model's Last Updated: December 27 2022
text-classification

Introduction of bert-tiny-target-cola

Model Details of bert-tiny-target-cola

bert-tiny-target-cola

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6626
  • Matthews Correlation: 0.1458
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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 200
Training results
Training Loss Epoch Step Validation Loss Matthews Correlation
0.6124 1.87 500 0.6192 0.0
0.6016 3.73 1000 0.6167 0.0
0.5838 5.6 1500 0.6166 0.0149
0.5555 7.46 2000 0.6344 0.0465
0.5272 9.33 2500 0.6542 0.1399
0.5058 11.19 3000 0.6626 0.1458
0.4791 13.06 3500 0.6868 0.1192
0.4577 14.93 4000 0.7215 0.1230
0.4425 16.79 4500 0.7322 0.1243
Framework versions
  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2

Runs of muhtasham bert-tiny-target-cola on huggingface.co

29
Total runs
1
24-hour runs
1
3-day runs
2
7-day runs
24
30-day runs

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