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gokuls/mobilebert_add_GLUE_Experiment_mnli

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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mobilebertaddGLUEExperimentmnli

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

  • —Loss: 1.0985
  • —Accuracy: 0.3522

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

Training results

Training LossEpochStepValidation LossAccuracy
1.09881.030681.09880.3182
1.09872.061361.09860.3184
1.09873.092041.09890.3274
1.09874.0122721.09870.3182
1.09875.0153401.09840.3545
1.09866.0184081.09870.3274
1.09867.0214761.09930.3274
1.09868.0245441.09850.3545
1.09869.0276121.09850.3545
1.098610.0306801.09870.3182

Framework versions

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