gokuls / mobilebert_add_GLUE_Experiment_mnli_256

huggingface.co
Total runs: 16
24-hour runs: 0
7-day runs: 1
30-day runs: -3
Model's Last Updated: January 27 2023
text-classification

Introduction of mobilebert_add_GLUE_Experiment_mnli_256

Model Details of mobilebert_add_GLUE_Experiment_mnli_256

mobilebert_add_GLUE_Experiment_mnli_256

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
  • 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
1.0987 1.0 3068 1.0988 0.3182
1.0987 2.0 6136 1.0986 0.3182
1.0986 3.0 9204 1.0988 0.3274
1.0986 4.0 12272 1.0988 0.3182
1.0986 5.0 15340 1.0985 0.3545
1.0986 6.0 18408 1.0986 0.3274
1.0986 7.0 21476 1.0989 0.3274
1.0986 8.0 24544 1.0986 0.3545
1.0986 9.0 27612 1.0986 0.3545
1.0986 10.0 30680 1.0987 0.3182
Framework versions
  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.8.0
  • Tokenizers 0.13.2

Runs of gokuls mobilebert_add_GLUE_Experiment_mnli_256 on huggingface.co

16
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
-3
30-day runs

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mobilebert_add_GLUE_Experiment_mnli_256 is an open source model from GitHub that offers a free installation service, and any user can find mobilebert_add_GLUE_Experiment_mnli_256 on GitHub to install. At the same time, huggingface.co provides the effect of mobilebert_add_GLUE_Experiment_mnli_256 install, users can directly use mobilebert_add_GLUE_Experiment_mnli_256 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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