huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: January 14 2025
text-classification

Introduction of yor

Model Details of yor

yor

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

  • Loss: 0.2782
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: 0.0003
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
Training results
Training Loss Epoch Step Validation Loss
No log 1.0 75 0.2800
No log 2.0 150 0.2785
No log 3.0 225 0.2782
No log 4.0 300 0.2782
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.19.1

Runs of jaycentg yor on huggingface.co

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7-day runs
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More Information About yor huggingface.co Model

yor huggingface.co

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

jaycentg yor online free

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

jaycentg yor online free url in huggingface.co:

https://huggingface.co/jaycentg/yor

yor install

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

yor install url in huggingface.co:

https://huggingface.co/jaycentg/yor

Url of yor

Provider of yor huggingface.co

jaycentg
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