gokuls / hBERTv1_qnli

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Total runs: 12
24-hour runs: 0
7-day runs: 1
30-day runs: 0
Model's Last Updated: March 02 2023
text-classification

Introduction of hBERTv1_qnli

Model Details of hBERTv1_qnli

hBERTv1_qnli

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

  • Loss: 0.4198
  • Accuracy: 0.8113
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
0.6667 1.0 410 0.5955 0.6874
0.4998 2.0 820 0.4486 0.7948
0.3985 3.0 1230 0.4198 0.8113
0.3106 4.0 1640 0.4841 0.7866
0.2286 5.0 2050 0.5340 0.7906
0.1662 6.0 2460 0.6282 0.7728
0.1237 7.0 2870 0.6678 0.7752
0.0945 8.0 3280 0.7668 0.7752
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of gokuls hBERTv1_qnli on huggingface.co

12
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
0
30-day runs

More Information About hBERTv1_qnli huggingface.co Model

hBERTv1_qnli huggingface.co

hBERTv1_qnli huggingface.co is an AI model on huggingface.co that provides hBERTv1_qnli's model effect (), which can be used instantly with this gokuls hBERTv1_qnli model. huggingface.co supports a free trial of the hBERTv1_qnli model, and also provides paid use of the hBERTv1_qnli. Support call hBERTv1_qnli model through api, including Node.js, Python, http.

hBERTv1_qnli huggingface.co Url

https://huggingface.co/gokuls/hBERTv1_qnli

gokuls hBERTv1_qnli online free

hBERTv1_qnli huggingface.co is an online trial and call api platform, which integrates hBERTv1_qnli's modeling effects, including api services, and provides a free online trial of hBERTv1_qnli, you can try hBERTv1_qnli online for free by clicking the link below.

gokuls hBERTv1_qnli online free url in huggingface.co:

https://huggingface.co/gokuls/hBERTv1_qnli

hBERTv1_qnli install

hBERTv1_qnli is an open source model from GitHub that offers a free installation service, and any user can find hBERTv1_qnli on GitHub to install. At the same time, huggingface.co provides the effect of hBERTv1_qnli install, users can directly use hBERTv1_qnli installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

hBERTv1_qnli install url in huggingface.co:

https://huggingface.co/gokuls/hBERTv1_qnli

Url of hBERTv1_qnli

hBERTv1_qnli huggingface.co Url

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