ajrayman / FairnessReciprocity_binary

huggingface.co
Total runs: 133
24-hour runs: 0
7-day runs: 4
30-day runs: 129
Model's Last Updated: September 03 2026
text-classification

Introduction of FairnessReciprocity_binary

Model Details of FairnessReciprocity_binary

FairnessReciprocity_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: 0.6546
  • Accuracy: 0.6075
  • Precision: 0.5526
  • Recall: 0.392
  • F1: 0.4587
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 1.0 111 0.6824 0.5385 0.4631 0.552 0.5036
No log 2.0 222 0.6735 0.5848 1.0 0.0213 0.0418
No log 3.0 333 0.6546 0.6075 0.5526 0.392 0.4587
Framework versions
  • Transformers 4.44.1
  • Pytorch 1.11.0
  • Datasets 2.12.0
  • Tokenizers 0.19.1

Runs of ajrayman FairnessReciprocity_binary on huggingface.co

133
Total runs
0
24-hour runs
1
3-day runs
4
7-day runs
129
30-day runs

More Information About FairnessReciprocity_binary huggingface.co Model

More FairnessReciprocity_binary license Visit here:

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FairnessReciprocity_binary huggingface.co

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

FairnessReciprocity_binary huggingface.co Url

https://huggingface.co/ajrayman/FairnessReciprocity_binary

ajrayman FairnessReciprocity_binary online free

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

ajrayman FairnessReciprocity_binary online free url in huggingface.co:

https://huggingface.co/ajrayman/FairnessReciprocity_binary

FairnessReciprocity_binary install

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

FairnessReciprocity_binary install url in huggingface.co:

https://huggingface.co/ajrayman/FairnessReciprocity_binary

Url of FairnessReciprocity_binary

FairnessReciprocity_binary huggingface.co Url

Provider of FairnessReciprocity_binary huggingface.co

ajrayman
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