mobilebert_add_GLUE_Experiment_sst2_256

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6814
  • Accuracy: 0.5562

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: 128
  • eval_batch_size: 128
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6662 1.0 527 0.6814 0.5562
0.5954 2.0 1054 0.7090 0.5493
0.5689 3.0 1581 0.7150 0.5596
0.5546 4.0 2108 0.6893 0.5539
0.5473 5.0 2635 0.7051 0.5872
0.5421 6.0 3162 0.6983 0.5872

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.8.0
  • Tokenizers 0.13.2