SaketR1 / stereo_detect_rm

huggingface.co
Total runs: 26
24-hour runs: 0
7-day runs: 1
30-day runs: 26
Model's Last Updated: November 26 2025
text-classification

Introduction of stereo_detect_rm

Model Details of stereo_detect_rm

stereo_detect_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: 0.0122
  • Mse: 0.0122
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
0.0427 1.0 21 0.0278 0.0278
0.0271 2.0 42 0.0204 0.0204
0.0222 3.0 63 0.0180 0.0180
0.0209 4.0 84 0.0133 0.0133
0.0184 5.0 105 0.0114 0.0114
0.015 6.0 126 0.0145 0.0145
0.0119 7.0 147 0.0132 0.0132
0.0109 8.0 168 0.0158 0.0158
0.0075 9.0 189 0.0145 0.0145
0.007 10.0 210 0.0129 0.0129
0.007 11.0 231 0.0125 0.0125
0.0061 12.0 252 0.0133 0.0133
0.0056 13.0 273 0.0150 0.0150
0.005 14.0 294 0.0126 0.0126
0.0042 15.0 315 0.0126 0.0126
0.0043 16.0 336 0.0142 0.0142
0.0036 17.0 357 0.0155 0.0155
0.0039 18.0 378 0.0136 0.0136
0.0039 19.0 399 0.0127 0.0127
0.004 20.0 420 0.0132 0.0132
0.0036 21.0 441 0.0126 0.0126
0.0034 22.0 462 0.0121 0.0121
0.0032 23.0 483 0.0128 0.0128
0.003 24.0 504 0.0114 0.0114
0.003 25.0 525 0.0129 0.0129
0.0029 26.0 546 0.0114 0.0114
0.0027 27.0 567 0.0121 0.0121
0.0029 28.0 588 0.0120 0.0120
0.0026 29.0 609 0.0118 0.0118
0.0025 30.0 630 0.0122 0.0122
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.9.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1

Runs of SaketR1 stereo_detect_rm on huggingface.co

26
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
26
30-day runs

More Information About stereo_detect_rm huggingface.co Model

More stereo_detect_rm license Visit here:

https://choosealicense.com/licenses/mit

stereo_detect_rm huggingface.co

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

stereo_detect_rm huggingface.co Url

https://huggingface.co/SaketR1/stereo_detect_rm

SaketR1 stereo_detect_rm online free

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

SaketR1 stereo_detect_rm online free url in huggingface.co:

https://huggingface.co/SaketR1/stereo_detect_rm

stereo_detect_rm install

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

stereo_detect_rm install url in huggingface.co:

https://huggingface.co/SaketR1/stereo_detect_rm

Url of stereo_detect_rm

stereo_detect_rm huggingface.co Url

Provider of stereo_detect_rm huggingface.co

SaketR1
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