ajrayman / Cautiousness_binary

huggingface.co
Total runs: 121
24-hour runs: 0
7-day runs: 4
30-day runs: 116
Model's Last Updated: September 03 2026
text-classification

Introduction of Cautiousness_binary

Model Details of Cautiousness_binary

Cautiousness_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: 0.6271
  • Accuracy: 0.7133
  • Precision: 0.6711
  • Recall: 0.6198
  • F1: 0.6444
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 1.0 121 0.5924 0.6863 0.6288 0.6148 0.6217
No log 2.0 242 0.5733 0.7164 0.7040 0.5580 0.6226
No log 3.0 363 0.6271 0.7133 0.6711 0.6198 0.6444
Framework versions
  • Transformers 4.44.1
  • Pytorch 1.11.0
  • Datasets 2.12.0
  • Tokenizers 0.19.1

Runs of ajrayman Cautiousness_binary on huggingface.co

121
Total runs
0
24-hour runs
1
3-day runs
4
7-day runs
116
30-day runs

More Information About Cautiousness_binary huggingface.co Model

More Cautiousness_binary license Visit here:

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Cautiousness_binary huggingface.co

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

Cautiousness_binary huggingface.co Url

https://huggingface.co/ajrayman/Cautiousness_binary

ajrayman Cautiousness_binary online free

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

ajrayman Cautiousness_binary online free url in huggingface.co:

https://huggingface.co/ajrayman/Cautiousness_binary

Cautiousness_binary install

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

Cautiousness_binary install url in huggingface.co:

https://huggingface.co/ajrayman/Cautiousness_binary

Url of Cautiousness_binary

Cautiousness_binary huggingface.co Url

Provider of Cautiousness_binary huggingface.co

ajrayman
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