krinal214 / xlm-all

huggingface.co
Total runs: 15
24-hour runs: 0
7-day runs: -1
30-day runs: -10
Model's Last Updated: March 16 2022
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Introduction of xlm-all

Model Details of xlm-all

xlm-all-final

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

  • Loss: 0.6038
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
1.4483 1.0 3381 0.6038
Framework versions
  • Transformers 4.15.0
  • Pytorch 1.9.1
  • Datasets 2.0.0
  • Tokenizers 0.10.3

Runs of krinal214 xlm-all on huggingface.co

15
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
-10
30-day runs

More Information About xlm-all huggingface.co Model

More xlm-all license Visit here:

https://choosealicense.com/licenses/mit

xlm-all huggingface.co

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

krinal214 xlm-all online free

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

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

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

xlm-all install

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

xlm-all install url in huggingface.co:

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

Url of xlm-all

Provider of xlm-all huggingface.co

krinal214
ORGANIZATIONS

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