gokuls / mobilebert_add_GLUE_Experiment_logit_kd_sst2

huggingface.co
Total runs: 18
24-hour runs: 0
7-day runs: -2
30-day runs: 1
Model's Last Updated: January 29 2023
text-classification

Introduction of mobilebert_add_GLUE_Experiment_logit_kd_sst2

Model Details of mobilebert_add_GLUE_Experiment_logit_kd_sst2

mobilebert_add_GLUE_Experiment_logit_kd_sst2

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7778
  • Accuracy: 0.8016
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
1.5405 1.0 527 1.4225 0.5539
1.3567 2.0 1054 1.4707 0.5482
1.2859 3.0 1581 1.4661 0.5677
1.2563 4.0 2108 1.4136 0.5665
1.2414 5.0 2635 1.4239 0.5940
1.2288 6.0 3162 1.4443 0.5745
0.7679 7.0 3689 0.7870 0.7878
0.4135 8.0 4216 0.7778 0.8016
0.3376 9.0 4743 0.8673 0.7993
0.2972 10.0 5270 0.8790 0.7901
0.2734 11.0 5797 0.9525 0.7913
0.2569 12.0 6324 0.9557 0.7936
0.2431 13.0 6851 0.9595 0.7878
Framework versions
  • Transformers 4.26.0
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.9.0
  • Tokenizers 0.13.2

Runs of gokuls mobilebert_add_GLUE_Experiment_logit_kd_sst2 on huggingface.co

18
Total runs
0
24-hour runs
1
3-day runs
-2
7-day runs
1
30-day runs

More Information About mobilebert_add_GLUE_Experiment_logit_kd_sst2 huggingface.co Model

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mobilebert_add_GLUE_Experiment_logit_kd_sst2 huggingface.co is an AI model on huggingface.co that provides mobilebert_add_GLUE_Experiment_logit_kd_sst2's model effect (), which can be used instantly with this gokuls mobilebert_add_GLUE_Experiment_logit_kd_sst2 model. huggingface.co supports a free trial of the mobilebert_add_GLUE_Experiment_logit_kd_sst2 model, and also provides paid use of the mobilebert_add_GLUE_Experiment_logit_kd_sst2. Support call mobilebert_add_GLUE_Experiment_logit_kd_sst2 model through api, including Node.js, Python, http.

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https://huggingface.co/gokuls/mobilebert_add_GLUE_Experiment_logit_kd_sst2

mobilebert_add_GLUE_Experiment_logit_kd_sst2 install

mobilebert_add_GLUE_Experiment_logit_kd_sst2 is an open source model from GitHub that offers a free installation service, and any user can find mobilebert_add_GLUE_Experiment_logit_kd_sst2 on GitHub to install. At the same time, huggingface.co provides the effect of mobilebert_add_GLUE_Experiment_logit_kd_sst2 install, users can directly use mobilebert_add_GLUE_Experiment_logit_kd_sst2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/gokuls/mobilebert_add_GLUE_Experiment_logit_kd_sst2

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