SaketR1 / bias-reward-model

huggingface.co
Total runs: 16
24-hour runs: -1
7-day runs: -5
30-day runs: -5
Model's Last Updated: July 05 2026
text-classification

Introduction of bias-reward-model

Model Details of bias-reward-model

scc_rm

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

  • Loss: 0.0060
  • Mse: 0.0060
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: 0.0001
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 30
Training results
Training Loss Epoch Step Validation Loss Mse
0.031 1.0 21 0.0183 0.0183
0.0208 2.0 42 0.0107 0.0107
0.0135 3.0 63 0.0092 0.0092
0.0122 4.0 84 0.0129 0.0129
0.0101 5.0 105 0.0067 0.0067
0.0084 6.0 126 0.0083 0.0083
0.0077 7.0 147 0.0057 0.0057
0.0065 8.0 168 0.0074 0.0074
0.0061 9.0 189 0.0077 0.0077
0.0062 10.0 210 0.0068 0.0068
0.0047 11.0 231 0.0058 0.0058
0.0042 12.0 252 0.0072 0.0072
0.0039 13.0 273 0.0065 0.0065
0.0039 14.0 294 0.0064 0.0064
0.004 15.0 315 0.0073 0.0073
0.0039 16.0 336 0.0090 0.0090
0.004 17.0 357 0.0066 0.0066
0.0035 18.0 378 0.0070 0.0070
0.0031 19.0 399 0.0082 0.0082
0.0032 20.0 420 0.0053 0.0053
0.0032 21.0 441 0.0055 0.0055
0.0034 22.0 462 0.0056 0.0056
0.0027 23.0 483 0.0065 0.0065
0.0024 24.0 504 0.0058 0.0058
0.0026 25.0 525 0.0060 0.0060
0.0027 26.0 546 0.0061 0.0061
0.0026 27.0 567 0.0068 0.0068
0.0025 28.0 588 0.0060 0.0060
0.0022 29.0 609 0.0063 0.0063
0.0023 30.0 630 0.0060 0.0060
Framework versions
  • Transformers 4.57.2
  • Pytorch 2.9.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1

Runs of SaketR1 bias-reward-model on huggingface.co

16
Total runs
-1
24-hour runs
-5
3-day runs
-5
7-day runs
-5
30-day runs

More Information About bias-reward-model huggingface.co Model

More bias-reward-model license Visit here:

https://choosealicense.com/licenses/mit

bias-reward-model huggingface.co

bias-reward-model huggingface.co is an AI model on huggingface.co that provides bias-reward-model's model effect (), which can be used instantly with this SaketR1 bias-reward-model model. huggingface.co supports a free trial of the bias-reward-model model, and also provides paid use of the bias-reward-model. Support call bias-reward-model model through api, including Node.js, Python, http.

bias-reward-model huggingface.co Url

https://huggingface.co/SaketR1/bias-reward-model

SaketR1 bias-reward-model online free

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

SaketR1 bias-reward-model online free url in huggingface.co:

https://huggingface.co/SaketR1/bias-reward-model

bias-reward-model install

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

bias-reward-model install url in huggingface.co:

https://huggingface.co/SaketR1/bias-reward-model

Url of bias-reward-model

bias-reward-model huggingface.co Url

Provider of bias-reward-model huggingface.co

SaketR1
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