ajrayman / Trust_binary

huggingface.co
Total runs: 128
24-hour runs: 0
7-day runs: 7
30-day runs: 124
Model's Last Updated: September 03 2026
text-classification

Introduction of Trust_binary

Model Details of Trust_binary

Trust_binary

This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6555
  • Accuracy: 0.6839
  • Precision: 0.5694
  • Recall: 0.3993
  • F1: 0.4694
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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
No log 1.0 107 0.6013 0.6686 0.55 0.2953 0.3843
No log 2.0 214 0.6426 0.6851 0.5833 0.3523 0.4393
No log 3.0 321 0.6555 0.6839 0.5694 0.3993 0.4694
Framework versions
  • Transformers 4.44.1
  • Pytorch 1.11.0
  • Datasets 2.12.0
  • Tokenizers 0.19.1

Runs of ajrayman Trust_binary on huggingface.co

128
Total runs
0
24-hour runs
3
3-day runs
7
7-day runs
124
30-day runs

More Information About Trust_binary huggingface.co Model

More Trust_binary license Visit here:

https://choosealicense.com/licenses/mit

Trust_binary huggingface.co

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

Trust_binary huggingface.co Url

https://huggingface.co/ajrayman/Trust_binary

ajrayman Trust_binary online free

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

ajrayman Trust_binary online free url in huggingface.co:

https://huggingface.co/ajrayman/Trust_binary

Trust_binary install

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

Trust_binary install url in huggingface.co:

https://huggingface.co/ajrayman/Trust_binary

Url of Trust_binary

Trust_binary huggingface.co Url

Provider of Trust_binary huggingface.co

ajrayman
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