ajrayman / Friendliness_binary

huggingface.co
Total runs: 118
24-hour runs: 0
7-day runs: 4
30-day runs: 113
Model's Last Updated: September 03 2026
text-classification

Introduction of Friendliness_binary

Model Details of Friendliness_binary

Vulnerability_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: 0.6590
  • Accuracy: 0.7173
  • Precision: 0.6656
  • Recall: 0.5522
  • F1: 0.6036
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 1.0 126 0.5917 0.6994 0.7812 0.3181 0.4521
No log 2.0 252 0.5644 0.7212 0.6628 0.5802 0.6187
No log 3.0 378 0.6590 0.7173 0.6656 0.5522 0.6036
Framework versions
  • Transformers 4.44.1
  • Pytorch 1.11.0
  • Datasets 2.12.0
  • Tokenizers 0.19.1

Runs of ajrayman Friendliness_binary on huggingface.co

118
Total runs
0
24-hour runs
1
3-day runs
4
7-day runs
113
30-day runs

More Information About Friendliness_binary huggingface.co Model

More Friendliness_binary license Visit here:

https://choosealicense.com/licenses/mit

Friendliness_binary huggingface.co

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

Friendliness_binary huggingface.co Url

https://huggingface.co/ajrayman/Friendliness_binary

ajrayman Friendliness_binary online free

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

ajrayman Friendliness_binary online free url in huggingface.co:

https://huggingface.co/ajrayman/Friendliness_binary

Friendliness_binary install

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

Friendliness_binary install url in huggingface.co:

https://huggingface.co/ajrayman/Friendliness_binary

Url of Friendliness_binary

Friendliness_binary huggingface.co Url

Provider of Friendliness_binary huggingface.co

ajrayman
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