finetuned-bert

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

  • Loss: 0.3916
  • Accuracy: 0.875
  • F1: 0.9125

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: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.581 1.0 230 0.4086 0.8260 0.8711
0.366 2.0 460 0.3758 0.8480 0.8963
0.2328 3.0 690 0.3916 0.875 0.9125

Framework versions

  • Transformers 4.9.0.dev0
  • Pytorch 1.8.1+cu111
  • Datasets 1.8.1.dev0
  • Tokenizers 0.10.1
Downloads last month
12
Hosted inference API
Text Classification
Examples
Examples
Mask token: [MASK]
This model can be loaded on the Inference API on-demand.