gokuls / mobilebert_sa_GLUE_Experiment_logit_kd_mrpc

huggingface.co
Total runs: 15
24-hour runs: 0
7-day runs: -5
30-day runs: 0
Model's Last Updated: January 30 2023
text-classification

Introduction of mobilebert_sa_GLUE_Experiment_logit_kd_mrpc

Model Details of mobilebert_sa_GLUE_Experiment_logit_kd_mrpc

mobilebert_sa_GLUE_Experiment_logit_kd_mrpc

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: 0.5133
  • Accuracy: 0.6740
  • F1: 0.7772
  • Combined Score: 0.7256
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
0.6228 1.0 29 0.5556 0.6838 0.8122 0.7480
0.611 2.0 58 0.5551 0.6838 0.8122 0.7480
0.6095 3.0 87 0.5538 0.6838 0.8122 0.7480
0.6062 4.0 116 0.5503 0.6838 0.8122 0.7480
0.5825 5.0 145 0.5262 0.6985 0.8167 0.7576
0.4981 6.0 174 0.5197 0.6936 0.8038 0.7487
0.468 7.0 203 0.5133 0.6740 0.7772 0.7256
0.3901 8.0 232 0.5382 0.6838 0.7757 0.7297
0.323 9.0 261 0.6140 0.6789 0.7657 0.7223
0.2674 10.0 290 0.5512 0.6740 0.7687 0.7214
0.2396 11.0 319 0.6467 0.6667 0.7631 0.7149
0.2127 12.0 348 0.7811 0.6716 0.7690 0.7203
Framework versions
  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.9.0
  • Tokenizers 0.13.2

Runs of gokuls mobilebert_sa_GLUE_Experiment_logit_kd_mrpc on huggingface.co

15
Total runs
0
24-hour runs
-4
3-day runs
-5
7-day runs
0
30-day runs

More Information About mobilebert_sa_GLUE_Experiment_logit_kd_mrpc huggingface.co Model

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mobilebert_sa_GLUE_Experiment_logit_kd_mrpc huggingface.co

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

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https://huggingface.co/gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_mrpc

mobilebert_sa_GLUE_Experiment_logit_kd_mrpc install

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

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