gokuls / mobilebert_sa_GLUE_Experiment_mnli

huggingface.co
Total runs: 23
24-hour runs: 0
7-day runs: 7
30-day runs: 18
Model's Last Updated: January 26 2023
text-classification

Introduction of mobilebert_sa_GLUE_Experiment_mnli

Model Details of mobilebert_sa_GLUE_Experiment_mnli

mobilebert_sa_GLUE_Experiment_mnli

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: 0.8609
  • Accuracy: 0.6111
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
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.9907 1.0 3068 0.9408 0.5485
0.9094 2.0 6136 0.9065 0.5819
0.8828 3.0 9204 0.8969 0.5874
0.8627 4.0 12272 0.8821 0.5967
0.8429 5.0 15340 0.8743 0.6003
0.8207 6.0 18408 0.8663 0.6077
0.7989 7.0 21476 0.8665 0.6100
0.7789 8.0 24544 0.8751 0.6096
0.7603 9.0 27612 0.8620 0.6139
0.7425 10.0 30680 0.8813 0.6095
0.7238 11.0 33748 0.8913 0.6142
0.7063 12.0 36816 0.9026 0.6056
0.6891 13.0 39884 0.9267 0.5976
0.6721 14.0 42952 0.9072 0.6105
Framework versions
  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.8.0
  • Tokenizers 0.13.2

Runs of gokuls mobilebert_sa_GLUE_Experiment_mnli on huggingface.co

23
Total runs
0
24-hour runs
3
3-day runs
7
7-day runs
18
30-day runs

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mobilebert_sa_GLUE_Experiment_mnli huggingface.co is an AI model on huggingface.co that provides mobilebert_sa_GLUE_Experiment_mnli's model effect (), which can be used instantly with this gokuls mobilebert_sa_GLUE_Experiment_mnli model. huggingface.co supports a free trial of the mobilebert_sa_GLUE_Experiment_mnli model, and also provides paid use of the mobilebert_sa_GLUE_Experiment_mnli. Support call mobilebert_sa_GLUE_Experiment_mnli model through api, including Node.js, Python, http.

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mobilebert_sa_GLUE_Experiment_mnli is an open source model from GitHub that offers a free installation service, and any user can find mobilebert_sa_GLUE_Experiment_mnli on GitHub to install. At the same time, huggingface.co provides the effect of mobilebert_sa_GLUE_Experiment_mnli install, users can directly use mobilebert_sa_GLUE_Experiment_mnli installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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