gokuls / mobilebert_add_GLUE_Experiment_mrpc_128

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: -4
30-day runs: -6
Model's Last Updated: January 26 2023
text-classification

Introduction of mobilebert_add_GLUE_Experiment_mrpc_128

Model Details of mobilebert_add_GLUE_Experiment_mrpc_128

mobilebert_add_GLUE_Experiment_mrpc_128

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

  • Loss: 0.6231
  • Accuracy: 0.6838
  • F1: 0.8122
  • Combined Score: 0.7480
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 F1 Combined Score
0.6471 1.0 29 0.6239 0.6838 0.8122 0.7480
0.6304 2.0 58 0.6242 0.6838 0.8122 0.7480
0.6314 3.0 87 0.6249 0.6838 0.8122 0.7480
0.6307 4.0 116 0.6250 0.6838 0.8122 0.7480
0.6298 5.0 145 0.6233 0.6838 0.8122 0.7480
0.6283 6.0 174 0.6233 0.6838 0.8122 0.7480
0.6283 7.0 203 0.6231 0.6838 0.8122 0.7480
0.6224 8.0 232 0.6265 0.6838 0.8122 0.7480
0.6042 9.0 261 0.6355 0.6838 0.8122 0.7480
0.5862 10.0 290 0.6303 0.6838 0.8122 0.7480
0.5717 11.0 319 0.6515 0.6324 0.7525 0.6924
0.5641 12.0 348 0.6412 0.6838 0.8122 0.7480
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_mrpc_128 on huggingface.co

13
Total runs
0
24-hour runs
-2
3-day runs
-4
7-day runs
-6
30-day runs

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mobilebert_add_GLUE_Experiment_mrpc_128 is an open source model from GitHub that offers a free installation service, and any user can find mobilebert_add_GLUE_Experiment_mrpc_128 on GitHub to install. At the same time, huggingface.co provides the effect of mobilebert_add_GLUE_Experiment_mrpc_128 install, users can directly use mobilebert_add_GLUE_Experiment_mrpc_128 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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