gokuls / hBERTv2_data_aug_mnli

huggingface.co
Total runs: 28
24-hour runs: 0
7-day runs: -1
30-day runs: 13
Model's Last Updated: March 10 2023
text-classification

Introduction of hBERTv2_data_aug_mnli

Model Details of hBERTv2_data_aug_mnli

hBERTv2_data_aug_mnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0988
  • Accuracy: 0.3182
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: 256
  • eval_batch_size: 256
  • 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
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.0988 1.0 31440 1.0988 0.3182
1.0985 2.0 62880 1.0992 0.3182
1.0985 3.0 94320 1.0991 0.3182
1.0985 4.0 125760 1.0991 0.3182
1.0985 5.0 157200 1.0988 0.3182
1.0985 6.0 188640 1.0988 0.3182
1.0985 7.0 220080 1.0988 0.3182
1.0985 8.0 251520 1.0988 0.3182
1.0985 9.0 282960 1.0988 0.3182
1.0985 10.0 314400 1.0988 0.3182
1.0985 11.0 345840 1.0988 0.3182
1.0985 12.0 377280 1.0988 0.3182
1.0985 13.0 408720 1.0988 0.3182
1.0985 14.0 440160 1.0988 0.3182
1.0985 15.0 471600 1.0988 0.3182
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of gokuls hBERTv2_data_aug_mnli on huggingface.co

28
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
13
30-day runs

More Information About hBERTv2_data_aug_mnli huggingface.co Model

hBERTv2_data_aug_mnli huggingface.co

hBERTv2_data_aug_mnli huggingface.co is an AI model on huggingface.co that provides hBERTv2_data_aug_mnli's model effect (), which can be used instantly with this gokuls hBERTv2_data_aug_mnli model. huggingface.co supports a free trial of the hBERTv2_data_aug_mnli model, and also provides paid use of the hBERTv2_data_aug_mnli. Support call hBERTv2_data_aug_mnli model through api, including Node.js, Python, http.

hBERTv2_data_aug_mnli huggingface.co Url

https://huggingface.co/gokuls/hBERTv2_data_aug_mnli

gokuls hBERTv2_data_aug_mnli online free

hBERTv2_data_aug_mnli huggingface.co is an online trial and call api platform, which integrates hBERTv2_data_aug_mnli's modeling effects, including api services, and provides a free online trial of hBERTv2_data_aug_mnli, you can try hBERTv2_data_aug_mnli online for free by clicking the link below.

gokuls hBERTv2_data_aug_mnli online free url in huggingface.co:

https://huggingface.co/gokuls/hBERTv2_data_aug_mnli

hBERTv2_data_aug_mnli install

hBERTv2_data_aug_mnli is an open source model from GitHub that offers a free installation service, and any user can find hBERTv2_data_aug_mnli on GitHub to install. At the same time, huggingface.co provides the effect of hBERTv2_data_aug_mnli install, users can directly use hBERTv2_data_aug_mnli installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

hBERTv2_data_aug_mnli install url in huggingface.co:

https://huggingface.co/gokuls/hBERTv2_data_aug_mnli

Url of hBERTv2_data_aug_mnli

hBERTv2_data_aug_mnli huggingface.co Url

Provider of hBERTv2_data_aug_mnli huggingface.co

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