krinal214 / bert-all-squad_all_translated

huggingface.co
Total runs: 16
24-hour runs: 0
7-day runs: 0
30-day runs: -3
Model's Last Updated: April 11 2022
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Introduction of bert-all-squad_all_translated

Model Details of bert-all-squad_all_translated

bert-all-squad_all_translated

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5261
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
1.022 1.0 21579 0.5261
Framework versions
  • Transformers 4.16.2
  • Pytorch 1.9.1
  • Datasets 1.18.4
  • Tokenizers 0.11.6

Runs of krinal214 bert-all-squad_all_translated on huggingface.co

16
Total runs
0
24-hour runs
2
3-day runs
0
7-day runs
-3
30-day runs

More Information About bert-all-squad_all_translated huggingface.co Model

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bert-all-squad_all_translated huggingface.co

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

bert-all-squad_all_translated huggingface.co Url

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

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

bert-all-squad_all_translated install

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

bert-all-squad_all_translated install url in huggingface.co:

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

Url of bert-all-squad_all_translated

bert-all-squad_all_translated huggingface.co Url

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krinal214
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