gokuls / hBERTv1_mnli

huggingface.co
Total runs: 18
24-hour runs: 0
7-day runs: -2
30-day runs: 4
Model's Last Updated: March 03 2023
text-classification

Introduction of hBERTv1_mnli

Model Details of hBERTv1_mnli

hBERTv1_mnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0982
  • Accuracy: 0.3522
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
1.1001 1.0 1534 1.0994 0.3182
1.0988 2.0 3068 1.0990 0.3182
1.0987 3.0 4602 1.0992 0.3274
1.0987 4.0 6136 1.0986 0.3274
1.0987 5.0 7670 1.0985 0.3545
1.0986 6.0 9204 1.0987 0.3274
1.105 7.0 10738 1.0986 0.3274
1.1045 8.0 12272 1.0986 0.3182
1.0988 9.0 13806 1.0983 0.3274
1.0987 10.0 15340 1.0987 0.3182
1.0987 11.0 16874 1.0991 0.3182
1.0986 12.0 18408 1.0986 0.3545
1.0986 13.0 19942 1.0982 0.3545
1.0986 14.0 21476 1.0989 0.3545
1.0986 15.0 23010 1.0987 0.3182
1.0986 16.0 24544 1.0986 0.3545
1.0986 17.0 26078 1.0986 0.3545
1.0986 18.0 27612 1.0983 0.3182
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of gokuls hBERTv1_mnli on huggingface.co

18
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
4
30-day runs

More Information About hBERTv1_mnli huggingface.co Model

hBERTv1_mnli huggingface.co

hBERTv1_mnli huggingface.co is an AI model on huggingface.co that provides hBERTv1_mnli's model effect (), which can be used instantly with this gokuls hBERTv1_mnli model. huggingface.co supports a free trial of the hBERTv1_mnli model, and also provides paid use of the hBERTv1_mnli. Support call hBERTv1_mnli model through api, including Node.js, Python, http.

hBERTv1_mnli huggingface.co Url

https://huggingface.co/gokuls/hBERTv1_mnli

gokuls hBERTv1_mnli online free

hBERTv1_mnli huggingface.co is an online trial and call api platform, which integrates hBERTv1_mnli's modeling effects, including api services, and provides a free online trial of hBERTv1_mnli, you can try hBERTv1_mnli online for free by clicking the link below.

gokuls hBERTv1_mnli online free url in huggingface.co:

https://huggingface.co/gokuls/hBERTv1_mnli

hBERTv1_mnli install

hBERTv1_mnli is an open source model from GitHub that offers a free installation service, and any user can find hBERTv1_mnli on GitHub to install. At the same time, huggingface.co provides the effect of hBERTv1_mnli install, users can directly use hBERTv1_mnli installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

hBERTv1_mnli install url in huggingface.co:

https://huggingface.co/gokuls/hBERTv1_mnli

Url of hBERTv1_mnli

hBERTv1_mnli huggingface.co Url

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