gokuls / mobilebert_add_GLUE_Experiment_logit_kd_mnli

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: 2
30-day runs: -11
Model's Last Updated: January 30 2023
text-classification

Introduction of mobilebert_add_GLUE_Experiment_logit_kd_mnli

Model Details of mobilebert_add_GLUE_Experiment_logit_kd_mnli

mobilebert_add_GLUE_Experiment_logit_kd_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: 1.7834
  • Accuracy: 0.3295
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
1.8866 1.0 3068 1.7941 0.3274
1.8864 2.0 6136 1.7939 0.3274
1.8864 3.0 9204 1.7944 0.3274
1.8864 4.0 12272 1.7940 0.3274
1.8864 5.0 15340 1.7938 0.3274
1.8864 6.0 18408 1.7940 0.3274
1.8864 7.0 21476 1.7944 0.3274
1.8864 8.0 24544 1.7939 0.3274
1.8864 9.0 27612 1.7939 0.3274
1.8864 10.0 30680 1.7940 0.3274
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_mnli on huggingface.co

10
Total runs
0
24-hour runs
-1
3-day runs
2
7-day runs
-11
30-day runs

More Information About mobilebert_add_GLUE_Experiment_logit_kd_mnli huggingface.co Model

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mobilebert_add_GLUE_Experiment_logit_kd_mnli huggingface.co

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

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https://huggingface.co/gokuls/mobilebert_add_GLUE_Experiment_logit_kd_mnli

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https://huggingface.co/gokuls/mobilebert_add_GLUE_Experiment_logit_kd_mnli

mobilebert_add_GLUE_Experiment_logit_kd_mnli install

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

mobilebert_add_GLUE_Experiment_logit_kd_mnli install url in huggingface.co:

https://huggingface.co/gokuls/mobilebert_add_GLUE_Experiment_logit_kd_mnli

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