krinal214 / bert-all

huggingface.co
Total runs: 83
24-hour runs: 0
7-day runs: 11
30-day runs: 72
Model's Last Updated: March 16 2022
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Introduction of bert-all

Model Details of bert-all

bert-all

This model is a fine-tuned version of bert-base-multilingual-cased on the tydiqa dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5985
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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss
1.1556 1.0 3552 0.5985
Framework versions
  • Transformers 4.15.0
  • Pytorch 1.9.1
  • Datasets 2.0.0
  • Tokenizers 0.10.3

Runs of krinal214 bert-all on huggingface.co

83
Total runs
0
24-hour runs
2
3-day runs
11
7-day runs
72
30-day runs

More Information About bert-all huggingface.co Model

More bert-all license Visit here:

https://choosealicense.com/licenses/apache-2.0

bert-all huggingface.co

bert-all huggingface.co is an AI model on huggingface.co that provides bert-all's model effect (), which can be used instantly with this krinal214 bert-all model. huggingface.co supports a free trial of the bert-all model, and also provides paid use of the bert-all. Support call bert-all model through api, including Node.js, Python, http.

krinal214 bert-all online free

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

krinal214 bert-all online free url in huggingface.co:

https://huggingface.co/krinal214/bert-all

bert-all install

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

bert-all install url in huggingface.co:

https://huggingface.co/krinal214/bert-all

Url of bert-all

Provider of bert-all huggingface.co

krinal214
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