distilbert-base-uncased-cola

This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2715
  • Matthews Correlation: 0.5301

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: 10

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.5216 1.0 535 0.5124 0.4104
0.3456 2.0 1070 0.5700 0.4692
0.2362 3.0 1605 0.7277 0.4844
0.1818 4.0 2140 0.7553 0.5007
0.1509 5.0 2675 0.9406 0.4987
0.1017 6.0 3210 0.9475 0.5387
0.0854 7.0 3745 1.0933 0.5317
0.051 8.0 4280 1.1719 0.5358
0.0512 9.0 4815 1.2296 0.5321
0.0308 10.0 5350 1.2715 0.5301

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.10.0+cu102
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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Dataset used to train sciarrilli/distilbert-base-uncased-cola

Evaluation results