Edit model card

mobilebert_sa_GLUE_Experiment_logit_kd_pretrain_mnli

This model is a fine-tuned version of gokuls/mobilebert_sa_pre-training-complete on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3782
  • Accuracy: 0.8390

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
0.6657 1.0 3068 0.4271 0.8153
0.4271 2.0 6136 0.4219 0.8248
0.3376 3.0 9204 0.3896 0.8356
0.2799 4.0 12272 0.3866 0.8380
0.2397 5.0 15340 0.3847 0.8397
0.21 6.0 18408 0.3990 0.8403
0.1885 7.0 21476 0.3940 0.8380
0.1723 8.0 24544 0.4066 0.8373
0.1588 9.0 27612 0.3966 0.8388
0.149 10.0 30680 0.3883 0.8422

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.9.0
  • Tokenizers 0.13.2
Downloads last month
6

Dataset used to train gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_pretrain_mnli

Evaluation results